CD playback control method and device based on ai speech interaction

By integrating AI voice recognition and deep learning algorithms into the CD player, it achieves accurate understanding of user voice commands and personalized audio control, solving the problem of insufficient intelligence in traditional CD players and providing a convenient intelligent audio experience.

WO2026158137A1PCT designated stage Publication Date: 2026-07-30HONG WEIBING
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
HONG WEIBING
Filing Date
2026-01-15
Publication Date
2026-07-30

AI Technical Summary

Technical Problem

Traditional CD players lack intelligence, cannot understand user voice commands, and are unable to meet users' needs for personalized audio experiences.

Method used

The system employs an AI speech recognition module to collect speech signals, performs noise reduction, filtering, and frame segmentation, extracts Mel-frequency cepstral coefficient feature vectors, and uses a speech recognition model built with deep learning algorithms for classification and recognition. It then integrates a main control module, an audio link module, an audio playback module, and a storage module to achieve intelligent control.

Benefits of technology

It can accurately understand users' voice commands and automatically control playback and recommend music based on personalized needs, satisfying users' desire for a convenient, intelligent, and personalized audio experience.

✦ Generated by Eureka AI based on patent content.

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    Figure CN2026072708_30072026_PF_FP_ABST
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Abstract

A CD playback control method and device based on AI speech interaction. The method comprises: invoking a microphone of an AI speech recognition module to collect a speech signal of a user, and performing digitization processing on the collected speech signal, so as to obtain a digital audio signal; performing preprocessing on the digital audio signal; performing speech signal feature parameter extraction on the preprocessed digital audio signal, wherein speech signal feature parameters comprise a Mel-frequency cepstral coefficient feature vector, and acoustic features of the speech signal are represented by means of the speech signal feature parameters; and inputting the extracted speech signal feature parameters into a pre-trained speech recognition model constructed on the basis of a deep learning algorithm, and classifying and recognizing the inputted speech signal feature parameters by means of the speech recognition model, so as to obtain a text control instruction for a CD playback device. A speech instruction of a user can be accurately understood, and playback control and music recommendation can be automatically performed on the basis of personalized requirements and preferences of the user, thereby satisfying the pursuit of a personalized audio experience by the user.
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Description

A method and device for controlling CD playback via AI voice interaction Technical Field

[0001] This invention relates to an AI voice-interactive CD playback control method and device, belonging to the field of player technology. Background Technology

[0002] CD players, also known as laser disc players or laser turntables, are intelligent, high-fidelity stereo sound devices controlled by microcomputers. They employ advanced laser technology, digital technology, computer technology, and various new components, and have advantages such as high-density recording, long playback time, easy operation, and fast track selection. They can realistically reproduce the recorded content with clear layers and a sense of presence.

[0003] Traditional CD players primarily rely on physical buttons on the device for operation, requiring users to manually control functions such as play, pause, track selection, and volume adjustment. This method is inconvenient in many situations, such as when users are busy with other tasks or are far from the player, making precise operation difficult. Furthermore, traditional CD players lack intelligence; they cannot understand user voice commands or automatically control playback and recommend music based on personalized needs and preferences, failing to meet modern users' demands for convenient, intelligent, and personalized audio experiences. Summary of the Invention

[0004] To address this issue, the present invention provides an AI voice-interactive CD playback control method and device, which solves the problem that traditional CD players lack intelligence, cannot understand user voice commands, and cannot meet users' personalized audio experience needs.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an AI voice interaction CD playback control method, comprising the following steps:

[0006] The AI ​​speech recognition module's microphone is used to collect the user's voice signal, and the collected voice signal is digitized into a digital audio signal.

[0007] The digital audio signal is preprocessed, including noise reduction, filtering, and frame segmentation.

[0008] Speech signal feature parameters are extracted from the preprocessed digital audio signal. The speech signal feature parameters include the Mel frequency cepstral coefficient feature vector. The speech signal feature parameters characterize the acoustic features of the speech signal.

[0009] The extracted speech signal feature parameters are input into a pre-trained speech recognition model based on a deep learning algorithm. The speech recognition model then classifies and recognizes the input speech signal feature parameters to obtain text control commands for the CD playback device.

[0010] As a preferred method for controlling an AI voice-interactive CD playback device, during the preprocessing of the digital audio signal:

[0011] Define an array to store the sampled values ​​of the digital audio signal;

[0012] The array format is: int audioSamples[BUFFER_SIZE], where BUFFER_SIZE represents the size of the array that buffers audio sample values;

[0013] Using the array of sampled values ​​of the digital audio signal and its size as parameters, the average value of the sampled values ​​within each window is calculated by iterating through the array in a loop, with the set window size as the unit.

[0014] Construct a nested loop, which includes an outer loop and an inner loop; control the sliding position of the window through the outer loop, and accumulate the sampled values ​​within the window and calculate the average through the inner loop; replace the sampled value at the center position of the window with the average value.

[0015] As a preferred embodiment of the control method for AI voice-interactive CD playback devices, the outer loop starts from half the window size and ends at the end of the array minus half the window size, so that each sampling point that needs to be filtered is located at the center of the window.

[0016] The window range of the inner loop is centered on the current outer loop position i, and extends to the left and right by windowSize / 2 sampling points, where windowSize is the window size for mean filtering.

[0017] As a preferred solution for controlling an AI voice-interactive CD playback device, the speech recognition model constructed based on deep learning algorithms multiplies the output value of the speech input signal by the corresponding weights and then adds them together. The result is then added to the bias value corresponding to the speech output signal, and finally, the output result of the speech output signal is obtained through an activation function.

[0018] As a preferred embodiment of the AI ​​voice-interactive CD playback device control method, the expression of the voice recognition model is: In the formula, The model represents the speech signal output by the nth class. The weights of the speech output signal i. Voice input signal i, This is the bias value corresponding to the voice output signal i.

[0019] The present invention also provides an AI voice interactive CD playback control device, which adopts the above-mentioned AI voice interactive CD playback control method, including a main control module, an AI voice recognition module, a CD player audio link module, an audio playback module and a storage module;

[0020] The AI ​​voice recognition module includes a voice recognition chip and a microphone. The microphone and the voice recognition chip are electrically connected, and the voice recognition chip is electrically connected to the main control module. The AI ​​voice recognition module is used to collect the user's voice control commands.

[0021] The CD player audio link module includes a mechanism, a driver chip, and an audio decoding chip; a connection is established between the mechanism and the driver chip, a connection is established between the driver chip and the audio decoding chip, and a connection is established between the audio decoding chip and the main control module; the mechanism is used to scan CD disc information using a laser head; the driver chip is used to read audio data; and the audio decoding chip is used to decode the read audio data and convert it into an audio signal.

[0022] A connection is established between the audio playback module and the main control module. The audio playback module is equipped with an audio power amplifier chip and is used to play the original audio signal through the audio power amplifier chip and the configured speaker.

[0023] A connection is established between the storage module and the main control module, and the storage module is used to randomly store the audio signal converted from the audio data decoding.

[0024] As a preferred solution for AI voice-interactive CD playback control devices, it also includes a dual-mode wireless module, which establishes a connection with the main control module. The dual-mode wireless module is used for wireless data transmission and control of the CD playback device.

[0025] As a preferred solution for an AI voice-interactive CD playback control device, it also includes a mobile server module. The mobile server module establishes a connection with the main control module through the dual-mode wireless module. The mobile server module is used by the user to send playback control commands to the CD playback device through a mobile terminal.

[0026] The mobile server module uses a trained speech recognition model based on a deep learning algorithm for comparison and matching to obtain the recognition result, and sends the recognition result back to the main control module. After parsing the recognition result, the main control module performs operations or displays based on the parsing result to complete the interaction.

[0027] As a preferred solution for an AI voice-interactive CD playback control device, it also includes a display module, which is equipped with a TFT touch screen. The display module is connected to the main control module and is used to display the music lyrics data corresponding to the played audio signal.

[0028] As a preferred solution for AI voice-interactive CD playback control devices, a power module is also included, which is equipped with a battery, a 3.3V voltage regulator chip, a charging management chip, and a charging interface.

[0029] The battery powers the entire CD player; the charging interface connects to an external power adapter to charge the battery; the charging management chip regulates the charging process; and the 3.3V voltage regulator converts the voltage input from the battery or the charging interface into a 3.3V output to power the entire CD player.

[0030] This invention has the following advantages: It collects the user's voice signal by calling the microphone of an AI voice recognition module and digitizes the collected voice signal into a digital audio signal; it preprocesses the digital audio signal, including noise reduction, filtering, and framing; it extracts voice signal feature parameters from the preprocessed digital audio signal, including Mel-frequency cepstral coefficient feature vectors, which characterize the acoustic features of the voice signal; it inputs the extracted voice signal feature parameters into a pre-trained voice recognition model based on a deep learning algorithm, and the voice recognition model classifies and recognizes the input voice signal feature parameters to obtain text control commands for the CD playback device. This invention can accurately understand the user's voice commands and automatically control playback and recommend music based on the user's personalized needs and preferences, satisfying the user's pursuit of a convenient, intelligent, and personalized audio experience. Attached Figure Description

[0031] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0032] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0033] Figure 1 is a schematic flowchart of the AI ​​voice interaction CD playback control method provided in an embodiment of the present invention;

[0034] Figure 2 is a schematic diagram of the speech recognition process in the AI ​​voice interaction CD playback control method provided in the embodiment of the present invention.

[0035] Figure 3 is a schematic diagram of the speech signal processing by the speech recognition model in the AI ​​voice interaction CD playback control method provided in the embodiment of the present invention.

[0036] Figure 4 is a schematic diagram of the hardware architecture of the AI ​​voice interaction CD playback control device provided in an embodiment of the present invention.

[0037] Figure 5 is a schematic diagram of the power module in the AI ​​voice interactive CD playback control device provided in an embodiment of the present invention.

[0038] In the diagram, 1. Main control module; 2. AI voice recognition module; 3. CD player audio link module; 4. Audio playback module; 5. Storage module; 6. Voice recognition chip; 7. Microphone; 8. Mechanism; 9. Driver chip; 10. Audio decoding chip; 11. Dual-mode wireless module; 12. Mobile server module; 13. Display module; 14. TFT touch screen; 15. Power module; 16. Battery; 17. 3.3V voltage regulator chip; 18. Charging management chip; 19. Charging interface. Detailed Implementation

[0039] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Referring to Figures 1 and 2, this embodiment of the invention provides an AI voice-interactive CD playback control method, comprising the following steps:

[0041] S1. Call the microphone of the AI ​​voice recognition module to collect the user's voice signal, and digitize the collected voice signal into a digital audio signal;

[0042] S2. Preprocess the digital audio signal, the preprocessing including noise reduction, filtering, and frame segmentation;

[0043] S3. Extract speech signal feature parameters from the preprocessed digital audio signal. The speech signal feature parameters include the Mel frequency cepstral coefficient feature vector. The speech signal feature parameters characterize the acoustic features of the speech signal.

[0044] S4. Input the extracted speech signal feature parameters into a pre-trained speech recognition model based on a deep learning algorithm. The speech recognition model then classifies and recognizes the input speech signal feature parameters to obtain text control commands for the CD playback device.

[0045] In this embodiment, in step S1, the AI ​​speech recognition module collects the user's speech signal through a microphone, digitizes the speech signal, and converts it into a digital audio signal. Next, in step S2, the digital audio signal is preprocessed, including noise reduction, filtering, and framing operations using the FM1288 noise reduction processor chip to improve the quality and recognizability of the speech signal. In step S3, feature parameters of the speech signal are extracted, such as Mel-frequency cepstral coefficients (MFCC) and other feature vectors. These feature vectors effectively characterize the acoustic features of the speech signal. Then, in step S4, the extracted feature vectors are input into a pre-trained speech recognition model. The speech recognition model is built based on deep learning algorithms (such as deep neural networks, convolutional neural networks, or recurrent neural networks). After training with a large amount of speech data, it can classify and recognize the input feature vectors and output corresponding text commands.

[0046] In this embodiment, during the preprocessing of the digital audio signal in step S2:

[0047] Define an array to store the sampled values ​​of the digital audio signal;

[0048] The array format is: int audioSamples[BUFFER_SIZE], where BUFFER_SIZE represents the size of the array that buffers audio sample values;

[0049] Using the array of sampled values ​​of the digital audio signal and its size as parameters, the average value of the sampled values ​​within each window is calculated by iterating through the array in a loop, with the set window size as the unit.

[0050] Construct a nested loop, which includes an outer loop and an inner loop; control the sliding position of the window through the outer loop, and accumulate the sampled values ​​within the window and calculate the average through the inner loop; replace the sampled value at the center position of the window with the average value.

[0051] Specifically, the noise reduction method for preprocessing digital audio signals employs a mean filtering algorithm. In the software program, an array is first defined to store the sampled values ​​of the audio signal, for example, `int audioSamples[BUFFER_SIZE]`; where `BUFFER_SIZE` represents the size of the array for buffering audio sampled values, which can be set according to actual needs. The function receives the audio sampled value array and its size as parameters. Inside the function, the array is iterated through using a loop, and the average value of the sampled values ​​within each window is calculated in units of a set window size. Nested loops can be used; the outer loop controls the sliding position of the window, and the inner loop accumulates the sampled values ​​within the window and calculates the average, then replaces the sampled value at the center of the window with the average value.

[0052] In this embodiment, the outer loop starts at half the window size and ends at the end of the array minus half the window size, so that each sampling point that needs to be filtered is located at the center of the window.

[0053] The window range of the inner loop is centered on the current outer loop position i, and extends to the left and right by windowSize / 2 sampling points, where windowSize is the window size for mean filtering.

[0054] Specifically, the inner loop accumulates the sampled values ​​within the window based on the current window position determined by the outer loop. After accumulation, it calculates the average value, which represents the average level of the sampled values ​​within the window. The calculated average value replaces the original sampled value at the center of the window, thus achieving noise reduction for that position. By performing this process on every possible sampled value in the array that might be at the center of the window, mean filtering and noise reduction of the entire audio signal is completed.

[0055] For example, if the window size is set to 5, when the outer loop reaches the 3rd position of the array, the inner loop accumulates and averages the sampled values ​​from the 1st to the 5th position, and then assigns the average value to the sampled value at the 3rd position, and so on, to complete the processing of the entire array.

[0056] The code for the nested loop is as follows:

[0057] / * meanFilter is the mean filtering function; audioSamples[] is an array that stores the audio signal sample values; bufferSize is the size of the audio signal sample value array; windowSize is the size of the mean filtering window * /

[0058] void meanFilter(int audioSamples[], int bufferSize, int windowSize) {

[0059] / / The outer loop controls the position of the window as it slides across the audio sample value array, starting from half the window size.

[0060] / / End at the end of the array minus half the window size. This ensures that each sample point requiring filtering is centered within the window for computation.

[0061] for (int i = windowSize / 2; i < bufferSize - windowSize / 2; i++) {

[0062] int sum = 0;

[0063] / / The inner loop is used to accumulate all audio sample values ​​within the current window. The window range is centered on the current outer loop position i, and expands to the left and right by windowSize / 2 sample points.

[0064] for (int j = i - windowSize / 2; j <= i + windowSize / 2; j++) {

[0065] sum += audioSamples[j];

[0066] }

[0067] / / Calculate the average value of the sampled values ​​within the current window and assign this average value to the sampled point currently located at the center of the window, thereby achieving mean filtering processing for the sampled point.

[0068] / / By continuously sliding the window and repeating this process, filtering is performed on the appropriate sampling points in the entire audio sample value array.

[0069] audioSamples[i] = sum / windowSize;

[0070] }".

[0071] Referring to Figure 3, in this embodiment, in step S3, the speech recognition model constructed based on the deep learning algorithm multiplies the output value of the speech input signal by the corresponding weights and adds them together. The result is then added to the bias value corresponding to the speech output signal, and finally, the output result of the speech output signal is obtained through the activation function.

[0072] The expression for the speech recognition model is as follows: In the formula, Let the model output the speech signal of class n. The weights of the speech output signal i. For the voice input signal i, This is the bias value corresponding to the voice output signal i.

[0073] Specifically, when a speech input signal enters the speech recognition model, each speech input signal has its corresponding weight. The speech recognition model multiplies the output value of each speech input signal by its respective weight. Then, these weighted output values ​​are summed. The sum is then added to the bias value corresponding to the speech output signal. Finally, the sum is input into the activation function. The activation function performs a non-linear transformation on this sum to obtain the final output result of the speech output signal. For example, assuming there are three speech input signals with output values ​​A, B, and C, corresponding to weights a, b, and c, and a bias value d, then first calculate Aa + Bb + C*c, add d, and input this result into the activation function to obtain the final output result. This calculation process enables the speech recognition model to learn and capture complex features and patterns in speech signals, thereby achieving accurate speech recognition.

[0074] Referring to Figure 4, this embodiment of the invention also provides an AI voice interactive CD playback control device, which adopts an AI voice interactive CD playback control method of the above embodiment, including a main control module 1, an AI voice recognition module 2, a CD player audio link module 3, an audio playback module 4, and a storage module 5;

[0075] The AI ​​voice recognition module 2 includes a voice recognition chip 6 and a microphone 7. The microphone 7 and the voice recognition chip 6 are electrically connected. The voice recognition chip 6 and the main control module 1 are electrically connected. The AI ​​voice recognition module 2 is used to collect the user's voice control commands.

[0076] The CD player audio link module 3 includes a mechanism 8, a driver chip 9, and an audio decoding chip 10; a connection is established between the mechanism 8 and the driver chip 9, a connection is established between the driver chip 9 and the audio decoding chip 10, and a connection is established between the audio decoding chip 10 and the main control module 1; the mechanism 8 is used to scan CD disc information using a laser head; the driver chip 9 is used to read audio data; and the audio decoding chip 10 is used to decode the read audio data and convert it into an audio signal.

[0077] A connection is established between the audio playback module 4 and the main control module 1. The audio playback module 4 is equipped with an audio power amplifier chip and is used to play the original audio signal through the audio power amplifier chip and the configured speaker.

[0078] A connection is established between the storage module 5 and the main control module 1. The storage module 5 is used to randomly store the audio signal converted from the audio data decoding.

[0079] This embodiment also includes a dual-mode wireless module 11, which establishes a connection with the main control module 1. The dual-mode wireless module 11 is used for wireless data transmission and control of the CD playback device. Furthermore, it includes a mobile server module 12, which establishes a connection with the main control module 1 through the dual-mode wireless module 11. The mobile server module 12 is used by the user to send playback control commands to the CD playback device via a mobile terminal.

[0080] Specifically, the dual-mode wireless module 11 is connected to the main control module 1, enabling wireless data transmission and control functions for the CD player. In terms of data transmission, the dual-mode wireless module 11 can transfer various data, such as audio files and device status information, between the CD player and external devices (e.g., mobile phones, computers). In terms of control, external devices can send control commands to the main control module 1 via the dual-mode wireless module 11 to operate the CD player.

[0081] The mobile server module 12 establishes a connection with the main control module 1 via the dual-mode wireless module 11. When a user operates on a mobile terminal (such as a mobile phone), the mobile terminal sends playback control commands to the mobile server module 12. The mobile server module 12 receives and processes these commands, and then transmits them to the main control module 1 via the dual-mode wireless module 11. The main control module 1 performs specific operations on the CD playback device based on the received commands, such as playing, pausing, and switching tracks. For example, when a user connects to the CD playback device using a mobile phone via the dual-mode wireless module 11, they can select the CD track to play on their phone. The dual-mode wireless module 11 transmits this command to the main control module 1, and the main control module 1 controls the CD playback device to play the corresponding track.

[0082] During voice recognition interaction, the device's microphone 7 captures voice, converts it into a digital signal, and extracts features. The main control module 1 coordinates and processes the data signal and sends the feature data to the mobile server module 12 via the dual-mode wireless module 11. The mobile server module 12 compares and matches the data using a trained model, obtains the recognition result, and then sends it back to the main control module 1. After parsing the result, the main control module 1 performs an operation or displays the result to complete the interaction.

[0083] In this embodiment, a display module 13 is also included. The display module 13 is equipped with a TFT touch screen 14. The display module 13 is connected to the main control module 1. The display module 13 is used to display the music lyrics data corresponding to the played audio signal.

[0084] Specifically, the display module 13 establishes a connection with the main control module 1. When the CD player plays an audio signal, the main control module 1 obtains the corresponding music lyrics data and transmits this data to the display module 13. After receiving the lyrics data from the main control module 1, the TFT touch screen configured in the display module 13 displays the lyrics in a clear and colorful form through its internal display driving circuit and pixel matrix. If the user touches the screen, the touch signal is transmitted to the main control module 1, which then controls the display module 13 to update the displayed lyrics information based on the touch operation (such as page turning, switching display content, etc.). For example, during song playback, the TFT touch screen of the display module 13 displays the currently playing line or section of lyrics in real time, making it convenient for the user to sing along or view the lyrics.

[0085] In this embodiment, a power module 15 is also included, which is equipped with a battery 16, a 3.3V voltage regulator chip, a charging management chip 18, and a charging interface 19.

[0086] The battery 16 is used to power the entire CD playback device; the charging interface 19 is used to connect an external power adapter to charge the battery 16; the charging management chip 18 is used to regulate the charging process; and the 3.3V voltage regulator chip 17 is used to convert the voltage input from the battery 16 or the charging interface 19 into a 3.3V voltage output.

[0087] Referring to Figure 5, specifically, battery 16 serves as the power source for the entire CD playback device, providing the necessary electrical energy to all components for normal operation. When battery 16 is low on power, an external power adapter is connected via charging interface 19. After the external power supply inputs current, the charging management chip 18 begins operation. The charging management chip 18 monitors and regulates the charging process, such as controlling the charging current and voltage, monitoring battery 16 power levels, and preventing overcharging, to ensure that battery 16 can be charged safely and efficiently. During device operation, the voltage output by battery 16 or the voltage input through charging interface 19 may not be a stable 3.3V. In this case, the 3.3V voltage regulator chip 17 comes into play, converting and stabilizing the input voltage to output a stable and reliable 3.3V voltage, providing a stable power supply to components requiring 3.3V power.

[0088] In one possible embodiment, the audio decoding chip 10 of the AI ​​voice recognition module 2 adopts Silan Microelectronics series SC6137D, SC6135B, SC9659P / Sunplus SPHE8104GW; the driver chip 9 of the CD player audio link module 3 adopts Silan Microelectronics SA1466, SA1461 / SL0311 / ROHM chip, and the mechanism 8 adopts M93BG6 / DA11; the charging management chip 18 adopts TP4054 / 4056 / 4057 / 5000; and the radio chip adopts RDA5807MP.

[0089] In one possible embodiment, the audio power amplifier chip uses the SiPT series XPT4863 / HAA9809S / ESMT series / CS43L21; battery 16: 18650, 21700 lithium battery 16 / polymer lithium battery 16; voice recognition chip 6 uses offline voice chips such as JL701 series / JLAC695 series / Mountainview series AP8064 / Rockchip series RK2108 / AI module based on JLAC7911B8 / BA design; charging interface 19 can be a Type-C interface or other DC socket, and its input voltage can be 5V / 9V / 12V power supply; storage module 5 uses the WINDAND25Q series; dual-mode wireless module 11 uses an ESP32 series chip or AP6255 chip Wi-Fi+BT integrated module, which complies with the 802.11b / g / n / ac standard, supports 2.4G and 5G dual bands, and Wi-Fi The interface is SDIO, and the Bluetooth interface is a UART serial port.

[0090] In summary, this invention utilizes the microphone 7 of the AI ​​speech recognition module 2 to collect the user's speech signal and digitizes it into a digital audio signal. The digital audio signal undergoes preprocessing, including noise reduction, filtering, and framing. Speech signal feature parameters are extracted from the preprocessed digital audio signal, including Mel-frequency cepstral coefficient feature vectors, which characterize the acoustic features of the speech signal. These extracted feature parameters are then input into a pre-trained speech recognition model built based on a deep learning algorithm. The speech recognition model classifies and recognizes the input speech signal feature parameters to obtain text control commands for the CD playback device. When a speech input signal enters the speech recognition model, each input signal has its corresponding weight. The speech recognition model multiplies the output value of the input signal by its corresponding weight. These weighted output values ​​are then summed. The sum is then added to the bias value corresponding to the speech output signal. Finally, the sum is input into an activation function. The activation function performs a non-linear transformation on this sum to obtain the final output result of the speech output signal. The dual-mode wireless module 11 connects to the main control module 1, enabling wireless data transmission and control of the CD player. For data transmission, the dual-mode wireless module 11 can transfer various data, such as audio files and device status information, between the CD player and external devices (e.g., mobile phones, computers). For control, external devices can send control commands to the main control module 1 via the dual-mode wireless module 11 to operate the CD player. The mobile server module 12 establishes a connection with the main control module 1 through the dual-mode wireless module 11. When a user operates on a mobile terminal (e.g., a mobile phone), the mobile terminal sends playback control commands to the mobile server module 12. The mobile server module 12 receives and processes these commands and then transmits them to the main control module 1 via the dual-mode wireless module 11. The main control module 1 then performs specific operations on the CD player based on the received commands, such as playing, pausing, and switching tracks. For example, when a user connects their mobile phone to a CD player via the dual-mode wireless module 11, they can select the CD track to play on their phone. The dual-mode wireless module 11 transmits this command to the main control module 1, which then controls the CD player to play the corresponding track. The display module 13 establishes a connection with the main control module 1. When the CD player plays an audio signal, the main control module 1 obtains the corresponding lyrics data and transmits this data to the display module 13. The TFT touchscreen of the display module 13 receives the lyrics data from the main control module 1 and displays the lyrics clearly and in color through its internal display driver circuit and pixel matrix.If the user touches the color screen, the touch signal is transmitted to the main control module 1. The main control module 1 then controls the display module 13 to update the displayed lyrics information based on the touch operation (such as page turning, switching display content, etc.). For example, during song playback, the TFT touch screen of the display module 13 displays the currently playing lyrics in real time, making it convenient for the user to sing along or view the lyrics. Battery 16 serves as the power source for the entire CD playback device, providing the necessary electrical energy to all components for normal operation. When battery 16 is low on power, an external power adapter is connected via charging interface 19. After the external power supply inputs current, the charging management chip 18 begins to operate. The charging management chip 18 monitors and regulates the charging process, such as controlling the charging current and voltage, monitoring the battery 16's charge level, and preventing overcharging, to ensure that battery 16 can be charged safely and efficiently. During device operation, the voltage output by battery 16 or the voltage input through charging interface 19 may not be a stable 3.3V. At this point, the 3.3V voltage regulator chip comes into play, converting and stabilizing the input voltage to output a 3.3V voltage, providing a stable and reliable power supply to components requiring 3.3V power. This invention can accurately understand the user's voice commands and automatically control playback and recommend music based on the user's personalized needs and preferences, satisfying the user's pursuit of a convenient, intelligent, and personalized audio experience.

[0091] The present invention has been described in a relatively specific and detailed manner above through general descriptions and specific embodiments. It should be understood that, based on the technical concept of the present invention, several conventional adjustments or further innovations can be made to these specific embodiments; however, as long as they do not depart from the technical concept of the present invention, the technical solutions obtained by these conventional adjustments or further innovations also fall within the protection scope of the claims of the present invention.

Claims

1. An AI voice-interactive CD playback control method, characterized in that, Includes the following steps: The AI ​​speech recognition module's microphone is used to collect the user's voice signal, and the collected voice signal is digitized into a digital audio signal. The digital audio signal is preprocessed, including noise reduction, filtering, and frame segmentation. Speech signal feature parameters are extracted from the preprocessed digital audio signal. The speech signal feature parameters include the Mel frequency cepstral coefficient feature vector. The speech signal feature parameters characterize the acoustic features of the speech signal. The extracted speech signal feature parameters are input into a pre-trained speech recognition model based on a deep learning algorithm. The speech recognition model then classifies and recognizes the input speech signal feature parameters to obtain text control commands for the CD playback device.

2. The AI ​​voice-interactive CD playback control method according to claim 1, characterized in that, During the preprocessing of the digital audio signal: Define an array to store the sampled values ​​of the digital audio signal; The array format is: int audioSamples[BUFFER_SIZE], where BUFFER_SIZE represents the size of the array that buffers audio sample values; Using the array of sampled values ​​of the digital audio signal and its size as parameters, the average value of the sampled values ​​within each window is calculated by iterating through the array in a loop, with the set window size as the unit. Construct a nested loop, which includes an outer loop and an inner loop; control the sliding position of the window through the outer loop, and accumulate and average the sampled values ​​within the window through the inner loop; Replace the sampled value at the center of the window with the average value.

3. The AI ​​voice-interactive CD playback control method according to claim 2, characterized in that, The outer loop starts at half the window size and ends at the end of the array minus half the window size, so that each sampling point that needs to be filtered is located at the center of the window. The window range of the inner loop is centered on the current outer loop position i, and extends to the left and right by windowSize / 2 sampling points, where windowSize is the window size for mean filtering.

4. The AI ​​voice-interactive CD playback control method according to claim 1, characterized in that, In the speech recognition model built based on the deep learning algorithm, the output value of the speech input signal is multiplied by the corresponding weights and then added together. The result is then added to the bias value corresponding to the speech output signal, and finally the output signal is obtained by passing it through an activation function.

5. The AI ​​voice-interactive CD playback control method according to claim 4, characterized in that, The expression for the speech recognition model is: In the formula, is The model represents the speech signal output by the nth class. The weights of the speech output signal i. For the voice input signal i, This is the bias value corresponding to the voice output signal i.

6. An AI voice-interactive CD playback control device, employing the AI ​​voice-interactive CD playback control method according to any one of claims 1 to 5, characterized in that, It includes a main control module (1), an AI voice recognition module (2), a CD player audio link module (3), an audio playback module (4), and a storage module (5); The AI ​​voice recognition module (2) includes a voice recognition chip (6) and a microphone (7). The microphone (7) and the voice recognition chip (6) are electrically connected. The voice recognition chip (6) and the main control module (1) are electrically connected. The voice recognition chip (6) includes an offline voice chip and an AI voice chip. The AI ​​voice recognition module (2) is used to collect the user's voice control commands. The CD player audio link module (3) includes a mechanism (8), a driver chip (9), and an audio decoding chip (10); a connection is established between the mechanism (8) and the driver chip (9), a connection is established between the driver chip (9) and the audio decoding chip (10), and a connection is established between the audio decoding chip (10) and the main control module (1); the mechanism (8) is used to scan CD disc information through a laser head; the driver chip (9) is used to read audio data; and the audio decoding chip (10) is used to decode the read audio data and convert it into an audio signal. A connection is established between the audio playback module (4) and the main control module (1). The audio playback module (4) is equipped with an audio power amplifier chip. The audio playback module (4) is used to play the original audio signal through the audio power amplifier chip and the configured speaker. A connection is established between the storage module (5) and the main control module (1), and the storage module (5) is used to randomly store the audio signal converted from the audio data decoding.

7. The AI ​​voice-interactive CD playback control device according to claim 6, characterized in that, It also includes a dual-mode wireless module (11), which establishes a connection with the main control module (1). The dual-mode wireless module (11) is used for wireless data transmission and control of the CD playback device.

8. The AI ​​voice-interactive CD playback control device according to claim 7, characterized in that, It also includes a mobile server module (12), which establishes a connection with the main control module (1) through the dual-mode wireless module (11). The mobile server module (12) is used by the user to send playback control commands to the CD playback device through the mobile terminal. The mobile server module (12) uses a trained speech recognition model based on deep learning algorithm for comparison and matching to obtain the recognition result, and sends the recognition result back to the main control module (1). After parsing the recognition result, the main control module (1) performs operations or displays according to the parsing result to complete the interaction.

9. An AI voice-interactive CD playback control device according to claim 1, characterized in that, It also includes a display module (13), which is equipped with a TFT touch screen (14). The display module (13) is connected to the main control module (1). The display module (13) is used to display the music lyrics data corresponding to the audio signal being played.

10. An AI voice-interactive CD playback control device according to claim 6, characterized in that, It also includes a power module (15), which is equipped with a battery (16), a 3.3V voltage regulator chip (17), a charging management chip (18) and a charging interface (19). The battery (16) is used to power the entire CD playback device; the charging interface (19) is used to connect an external power adapter to charge the battery (16); the charging management chip (18) is used to regulate the charging process; the 3.3V voltage regulator chip (17) is used to convert the voltage input from the battery (16) or the charging interface (19) into a 3.3V voltage output to power the entire CD playback device.