Music teaching audio playing system

Abstract

The invention relates to the field of music teaching, in particular to a music teaching audio playing system which comprises a hardware system and a software system. The hardware system comprises a storage module, a processor module, an audio output module, an input equipment module and a network connection module; the software system comprises an audio management module, an audio processing module, a play control module, a teaching interaction module, an intelligent analysis module, a user interface module and a voice recognition module. Through high-quality audio output and rich functions, music works can be displayed more clearly and accurately. According to the invention, students can better understand and feel the details of music, so that the teaching effect, the playing speed and the tone adjusting function are improved, the learning progress and the ability level of different students can be adapted, teaching according to materials is realized, the learning efficiency of the students is improved, and the teaching interaction module promotes the communication and feedback between teachers and students. Therefore, the teacher can timely know the learning condition and problem of the student and adjust the teaching strategy.

Description

Technical Field

[0001] The present invention relates to the field of music teaching, and specifically to a music teaching audio playback system. Background Art

[0002] Music is an art subject. Teachers use music works to guide students through activities such as listening, association, imagination, imitation, analysis, and comparison to stimulate their learning interest and cultivate their music aesthetic taste and aesthetic ability. Teachers use practical sounds, demonstrations, and visual methods in the classroom to enable students to obtain perceptual knowledge and deepen the learning content. In music teaching, audio playback is a very important link. Conventionally, it is a single playback through a playback device, which leads to many deficiencies in the existing audio playback system in music teaching applications, such as poor sound quality, single function, and inability to meet the needs of personalized teaching. Therefore, it is necessary to propose a music teaching audio playback system. Summary of the Invention

[0003] In view of the problems in the prior art, the present invention provides a music teaching audio playback system.

[0004] The technical solution adopted by the present invention to solve its technical problems is: a music teaching audio playback system, including a hardware system and a software system; The hardware system includes a storage module, a processor module, an audio output module, an input device module, and a network connection module; The software system includes an audio management module, an audio processing module, a playback control module, a teaching interaction module, an intelligent analysis module, a user interface module, and a voice recognition module; The audio processing module is provided with a signal acquisition module, a signal processing module, and a signal output module; The teaching interaction module is provided with a voice feedback module and a teaching progress tracking module; The signal acquisition is the first step of audio processing, which is usually completed through an audio input device such as a microphone, and includes: Sampling rate: determining the sampling frequency of the audio signal; Sampling bit depth: determining the sampling bit depth of the audio signal; Number of channels: determining the number of channels of the audio signal; The signal processing includes multiple aspects such as filtering, mixing, equalization, and compression, and includes: Filter: used to remove noise or specific frequency components in the audio signal; Mixing: combining multiple audio signals into one signal; Equalizer: adjusting the intensity of different frequency components in the audio signal; Compression: reducing the data volume of the audio signal for easy storage and transmission; The signal output is to send the processed audio signal to audio output devices such as speakers, determine the output format of the audio signal, and select a suitable audio output device; The teaching interaction module stimulates students' learning interest and participation through interaction design. Teachers play a guiding role in the interaction process to ensure the achievement of teaching goals. It uses intelligent technology to support interactive teaching, designs personalized interactive teaching plans according to the needs and characteristics of students, ensures effective interaction between students and teachers, and between students and students during the teaching process, and timely collects teaching feedback to provide a basis for teaching adjustment.

[0005] The voice feedback and evaluation are an important part of intelligent teaching interaction. It provides instant feedback and evaluation for teaching through speech recognition and natural language processing technologies; The voice feedback module includes: Speech recognition: Convert students' voice input into text for easy analysis and evaluation; Sentiment analysis: Understand students' learning status by analyzing the emotional color of the speech; Personalized feedback: Provide personalized guidance and help according to students' voice feedback; Real-time evaluation: During the teaching process, evaluate students' performance in real time and provide instant feedback; Comprehensive evaluation: Conduct comprehensive evaluation by collecting and analyzing students' voice data; Feedback optimization: Optimize teaching design and teaching methods according to the evaluation results; The teaching progress tracking module is a key link to ensure teaching quality. It monitors and records the teaching process in a data-driven way, including: Learning trajectory: Record students' learning paths and progress, and analyze learning behaviors; Learning status: Understand students' learning status through students' interaction data; Teaching adjustment: Adjust teaching strategies in a timely manner according to the progress tracking results; Evidence accumulation: Provide objective evidence for teaching evaluation; Experience summary: Summarize teaching experience through records to improve teaching quality; Personalized teaching: Achieve personalized teaching based on the recorded data; Automated recording: Use an intelligent system to automatically record key data during the teaching process; Data visualization: Intuitively display teaching progress and effects through forms such as charts; Data security: Ensure the security of teaching records and protect the privacy of students and teachers.

[0006] The speech recognition module includes a technology module, an algorithm module, and an execution module. The speech recognition module mainly consists of three parts: an acoustic model, a language model, and a decoder: Acoustic model: Converts speech signals into acoustic features, such as Mel Frequency Cepstral Coefficients; Language model: Predicts possible word sequences based on the grammar and semantic rules of speech; Decoder: Combines the acoustic model and the language model to convert acoustic features into text; Through deep learning frameworks TensorFlow and PyTorch, which provide powerful speech recognition models, and in combination with open-source libraries Kaldi and CMU Sphinx speech recognition tools, easy-to-integrate APIs are provided; The algorithm module outlines the probability distribution of the predicted text sequence through NLP algorithms, segments the text into words or phrases, tags the part of speech for each word in the text, analyzes the sentence structure, and identifies components such as the subject, predicate, and object. It cooperates with deep learning models such as recurrent neural networks, long short-term memory networks, Transformers, and statistical models such as hidden Markov models and conditional random fields to perform text processing based on predefined rules; The algorithm is used for sentiment analysis, spam detection, identifying specific entities in the text, and translating one language into another; The execution module is the process of converting the user's voice instructions into machine-understandable instructions and performing corresponding operations. It understands the semantic meaning of the instructions through NLP algorithms, identifies the specific operations the user wants to perform, and extracts key information from the instructions, such as time and location; According to the parsing result, schedule the execution of corresponding tasks, provide feedback on the operation result to the user, handle errors during the execution process, and provide corresponding solutions.

[0007] The storage module in the hardware system has two characteristics: capacity and reliability to store rich music teaching audio resources.

[0008] The audio management module in the software system can efficiently classify and retrieve audio files.

[0009] The playback control module supports playback modes, including single-song loop, sequential playback, and random playback.

[0010] The intelligent analysis module conducts in-depth analysis and utilization based on students' learning data and can formulate personalized learning plans according to different teaching situations.

[0011] The user interface module is designed to be simple, intuitive, and convenient to operate.

[0012] A method for using a music teaching audio playback system includes the following steps: S1: The network connection module can be used to connect to mobile phones, tablets and other audio devices via Bluetooth, or insert a USB flash drive with audio files using the USB interface, or use the Wi-Fi network to connect to an online audio platform. Then teachers and students can select the required files in the user interface module, and use the storage module to find and select the audio files to be played in the system's file browser or music library. In conjunction with the audio output module, the volume can be adjusted through the volume adjustment button or slider to play according to the environment and teaching needs. S2: If you need to play a certain audio repeatedly through the playback control module, you can select single song loop or full loop mode in the playback settings. For example, in a foreign language class, you can loop the conversation recording to help students practice listening. At the same time, the processor module can randomly select audio files from the music library to play, which increases the fun and diversity of teaching. S3: Students ask questions in the teaching interaction module through input devices, and then the teacher checks and answers them in time through text, voice, etc. with the help of the voice recognition module in the system. At the same time, the teacher can comment on the students' singing and playing performances through the voice feedback module, and can also encourage students to evaluate each other and improve together. At the same time, the teaching progress tracking module will store the teaching data as a whole, which is convenient for later review; S4: Finally, the intelligent analysis module adjusts the audio playback speed appropriately according to the students' learning progress and acceptance ability. For example, when explaining difficult music theories or complex music, the playback speed can be slowed down. The audio pitch can be adjusted to meet the performance demonstrations of different instruments or the singing practice needs of different students. Beneficial effects of the present invention: The music teaching audio playback system described in the present invention can display music works more clearly and accurately through high-quality audio output and rich functions, which helps students to better understand and feel the details of music, thereby improving teaching effects. The playback speed and pitch adjustment functions can adapt to the learning progress and ability levels of different students, achieve teaching in accordance with their aptitude, and improve students' learning efficiency. The teaching interaction module promotes communication and feedback between teachers and students, so that teachers can understand students' learning situations and problems in a timely manner and adjust teaching strategies, while also improving students' participation and enthusiasm. The intelligent analysis module can provide teachers with valuable teaching suggestions, help teachers discover problems in teaching, improve teaching methods, and improve overall teaching quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0014] Figure 1 A schematic diagram of the overall structure of a music teaching audio playback system provided by the present invention; Figure 2 Schematic diagram of the hardware system in a music teaching audio playback system provided by the present invention; Figure 3 Schematic diagram of the software system in a music teaching audio playback system provided by the present invention; Figure 4 Schematic diagram of the speech recognition module in a music teaching audio playback system provided by the present invention. Detailed implementation manners

[0015] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific implementation manners.

[0016] As Figures 1-4 shown, a music teaching audio playback system according to the present invention includes a hardware system and a software system; The hardware system includes a storage module, a processor module, an audio output module, an input device module, and a network connection module; the storage module is used to store a large number of music teaching audio resources, including audio files such as various instrument performances, vocal music performances, and music theory explanations. The processor module processes and analyzes audio data. The audio output module provides high-quality audio output, such as professional speakers, headphones, etc. The input device module, such as a keyboard, mouse, touch screen, etc., is used to operate and control the playback system. The network connection module supports wired and wireless network connections to obtain online audio resources and perform data transmission; The software system includes an audio management module, an audio processing module, a playback control module, a teaching interaction module, an intelligent analysis module, a user interface module, and a speech recognition module; The audio processing module is provided with a signal acquisition module, a signal processing module, and a signal output module; The teaching interaction module is provided with a voice feedback module and a teaching progress tracking module; The signal acquisition is the first step of audio processing, which is usually completed through an audio input device such as a microphone, and includes: Sampling rate: Determine the sampling frequency of the audio signal; Sampling bit depth: Determine the sampling bit depth of the audio signal; Number of channels: Determine the number of channels of the audio signal; The signal processing includes multiple aspects such as filtering, mixing, equalization, and compression, and includes: Filter: Used to remove noise or specific frequency components in the audio signal; Mixing: Combine multiple audio signals into one signal; Equalizer: Adjust the intensity of different frequency components in the audio signal; Compression: Reducing the data volume of the audio signal for easier storage and transmission; The signal output is to send the processed audio signal to an audio output device such as a speaker, determine the output format of the audio signal, and select a suitable audio output device; The teaching interaction module stimulates students' learning interest and participation through interactive design. Teachers play a guiding role during the interaction to ensure the achievement of teaching goals. It uses intelligent technologies to support interactive teaching, designs personalized interactive teaching plans according to students' needs and characteristics, ensures effective interaction between students and teachers, and between students and students during the teaching process, collects teaching feedback in a timely manner, and provides a basis for teaching adjustment.

[0017] The voice feedback and evaluation are an important part of intelligent teaching interaction. It provides instant feedback and evaluation for teaching through speech recognition and natural language processing technologies; The voice feedback module includes: Speech recognition: Converting students' voice input into text for easier analysis and evaluation; Sentiment analysis: Understanding students' learning status by analyzing the emotional color of the speech; Personalized feedback: Providing personalized guidance and help based on students' voice feedback; Real-time evaluation: Evaluating students' performance in real time during the teaching process and providing instant feedback; Comprehensive evaluation: Conducting a comprehensive evaluation by collecting and analyzing students' voice data; Feedback optimization: Optimizing teaching design and teaching methods according to the evaluation results; The teaching progress tracking module is a key link to ensure teaching quality. It monitors and records the teaching process in a data-driven way, including: Learning trajectory: Recording students' learning paths and progress and analyzing learning behaviors; Learning status: Understanding students' learning status through students' interaction data; Teaching adjustment: Adjusting teaching strategies in a timely manner according to the progress tracking results; Evidence accumulation: Providing objective evidence for teaching evaluation; Experience summary: Summarizing teaching experience through records to improve teaching quality; Personalized teaching: Implementing personalized teaching based on the recorded data; Automated recording: Using an intelligent system to automatically record key data during the teaching process; Data visualization: Intuitively displaying teaching progress and effects through forms such as charts; Data security: Ensuring the security of teaching records and protecting the privacy of students and teachers.

[0018] The speech recognition module includes a technology module, an algorithm module, and an execution module. The speech recognition module mainly consists of three parts: an acoustic model, a language model, and a decoder: Acoustic model: Converts speech signals into acoustic features, such as Mel Frequency Cepstral Coefficients; Language model: Predicts possible word sequences according to the grammar and semantic rules of speech; Decoder: Combines the acoustic model and the language model to convert acoustic features into text; Through deep learning frameworks TensorFlow and PyTorch, which provide powerful speech recognition models, combined with open-source libraries Kaldi and CMU Sphinx speech recognition tools, easy-to-integrate APIs are provided; The algorithm module predicts the probability distribution of text sequences through NLP algorithm overview, segments the text into words or phrases, annotates the part of speech for each word in the text, analyzes the sentence structure, identifies components such as subject, verb, and object, and cooperates with deep learning models such as recurrent neural network, long short-term memory network, Transformer, and statistical models such as hidden Markov model and conditional random field to perform text processing based on predefined rules; The algorithm is used for sentiment analysis, spam detection, identifying specific entities in the text, and translating one language into another; The execution module is the process of converting the user's voice instructions into machine-understandable instructions and performing corresponding operations. It understands the semantic meaning of the instructions through NLP algorithms, identifies the specific operations the user wants to perform, and extracts key information from the instructions, such as time and location; According to the parsing results, schedule the execution of corresponding tasks, provide feedback on the operation results to the user, handle errors during the execution process, and provide corresponding solutions.

[0019] The storage module in the hardware system has two capabilities: capacity and reliability to store rich music teaching audio resources.

[0020] The audio management module in the software system can efficiently classify and retrieve audio files.

[0021] The playback control module supports playback modes, including single-loop, sequential playback, and random playback.

[0022] The intelligent analysis module can conduct in-depth analysis based on students' learning data and can formulate personalized learning plans according to different teaching situations.

[0023] The user interface module is designed to be simple, intuitive, and easy to operate.

[0024] The interactive teaching module improves the interactivity and participation of teaching through technical means, and realizes effective interaction between students and teachers, and between students.

[0025] The voice feedback module uses speech recognition and natural language processing technology to provide instant voice feedback and evaluation for teaching, enhancing the personalization and real-time nature of teaching.

[0026] The teaching progress tracking module monitors and records the teaching process in a digitized way, providing an objective basis for teaching evaluation and personalized teaching.

[0027] The specific usage method is that the network connection module can be used to connect to mobile phones, tablets and other audio devices via Bluetooth, or a USB flash drive containing audio files can be inserted through the USB interface, or a Wi-Fi network can be used to connect to an online audio platform. Then teachers and students can select the required files in the user interface module, and use the storage module to find and select the audio files to be played in the system's file browser or music library. In conjunction with the audio output module, the volume can be adjusted through the volume adjustment button or slider to play according to the environment and teaching needs. If a certain audio needs to be played repeatedly through the playback control module, single loop or full loop mode can be selected in the playback settings. For example, in foreign language classes, conversation recordings can be played in a loop to help students practice listening. At the same time, the processor module can randomly select audio files in the music library for playback. The audio can be played back to increase the fun and diversity of teaching; students ask questions in the teaching interaction module through input devices, and then the teacher can check and answer them in time through text, voice, etc. with the help of the voice recognition module in the system. At the same time, the teacher can comment on the students' singing and playing performances through the voice feedback module, and can also encourage students to evaluate each other and improve together. At the same time, the teaching tracking progress module will store the teaching data as a whole for later review; finally, according to the intelligent analysis module, the audio playback speed is appropriately adjusted according to the students' learning progress and acceptance ability. For example, when explaining more difficult music theories or complex music, the playback speed can be slowed down and the tone of the audio can be adjusted to adapt to the performance demonstration of different instruments or the singing practice needs of different students.

[0028] 1. How to use it for teachers Registration and Login Register an account: Teachers first need to register an account on the platform and fill in relevant information, such as name, school, contact information, etc. Log in to the platform: Use the registered account and password to log in to the platform and enter the teacher’s personal center.

[0029] Create a course Create a new course: In the teacher's personal center, click the "Create a new course" button and fill in the course name, description, course settings and other information; Upload teaching resources: Upload teaching courseware, videos, audio and other resources to the course page for students to study and refer to.

[0030] Set up interactive sessions Design interactive tasks: According to the teaching objectives, design interactive tasks such as online discussions, Q&A, voting, etc. Set task time: Set the start and end times for interactive tasks to ensure that the tasks are carried out on time.

[0031] Publish the course Publish the course: After completing the course settings and the design of interactive sessions, click the "Publish Course" button to publish the course to the platform. Invite students: Invite students to join the course through the platform or provide the course link for students to join on their own.

[0032] Monitor the teaching progress View students' progress: In the teacher's personal center, the learning progress and interaction of students can be viewed. Adjust teaching strategies: According to the learning data of students, adjust teaching strategies in a timely manner to improve teaching effectiveness.

[0033] II. Student usage method Registration and login Register an account: Students need to register an account on the platform and fill in relevant information such as name, school, contact information, etc. Log in to the platform: Log in to the platform with the registered account and password to enter the student's personal center.

[0034] Join the course Search for courses: Search for interesting courses on the platform and view the course details. Join the course: Click the "Join Course" button to join the course for study.

[0035] Study the course content View courseware: On the course page, view the teaching courseware, videos, audio and other resources uploaded by the teacher. Participate in interactions: Actively participate in interactive sessions such as online discussions, Q&A, voting, etc., and interact with teachers and other students.

[0036] Complete interactive tasks Complete tasks on time: According to the time set by the teacher for interactive tasks, complete tasks such as online discussions, Q&A, etc. on time. Submit homework: Submit the completed homework to the platform and wait for the teacher to correct and give feedback.

[0037] View learning progress View progress: In the student's personal center, the student can view their own learning progress and interaction situation. Adjust the learning plan: According to the learning progress, adjust the learning plan to improve learning efficiency.

[0038] Example 1: In music theory teaching, the teacher selects relevant theoretical explanation audio through the audio storage module for playback, and uses the playback control module to adjust the playback speed so that students can understand better. At the same time, students ask questions through the teaching interaction module, and the teacher answers them in a timely manner. Meanwhile, with the cooperation of the voice feedback module and the teaching progress tracking module, the learning progress and learning data of students are recorded in real time, which is convenient for subsequent targeted training plans.

[0039] Example 2: In musical instrument performance teaching, the audio processing module optimizes the musical instrument performance audio to highlight the timbre characteristics of the musical instrument. Students can use this system through the multi-terminal connection module during self-practice after class.

[0040] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A music teaching audio playback system, characterized in that, It includes a hardware system and a software system; The hardware system includes a storage module, a processor module, an audio output module, an input device module, and a network connection module; The software system includes an audio management module, an audio processing module, a playback control module, a teaching interaction module, an intelligent analysis module, a user interface module, and a speech recognition module; The audio processing module is provided with a signal acquisition module, a signal processing module, and a signal output module; The teaching interaction module is provided with a voice feedback module and a teaching progress tracking module; The signal acquisition is the first step of audio processing, which is usually completed by an audio input device such as a microphone, including: Sampling rate: Determine the sampling frequency of the audio signal; Sampling bit depth: Determine the sampling bit depth of the audio signal; Number of channels: Determine the number of channels of the audio signal; The signal processing includes multiple aspects such as filtering, mixing, equalization, and compression, including: Filter: Used to remove noise or components of specific frequencies in the audio signal; Mixing: Combine multiple audio signals into one signal; Equalizer: Adjust the intensity of different frequency components in the audio signal; Compression: Reduce the data volume of the audio signal for easy storage and transmission; The signal output is to send the processed audio signal to an audio output device such as a speaker, determine the output format of the audio signal, and select a suitable audio output device; The teaching interaction module stimulates students' learning interest and participation through interactive design. Teachers play a guiding role in the interaction process to ensure the achievement of teaching goals. Utilize intelligent technologies to provide support for interactive teaching, design personalized interactive teaching plans according to students' needs and characteristics, ensure effective interaction between students and teachers, and between students and students during the teaching process, collect teaching feedback in a timely manner, and provide a basis for teaching adjustment.

2. The voice feedback and evaluation are an important part of intelligent teaching interaction, which provides instant feedback and evaluation for teaching through speech recognition and natural language processing technologies; The voice feedback module includes: Speech recognition: Convert students' voice input into text for easy analysis and evaluation; Sentiment analysis: Understand students' learning status by analyzing the emotional color of the voice; Personalized feedback: Provide personalized guidance and help according to students' voice feedback; Real-time evaluation: During the teaching process, evaluate students' performance in real time and provide instant feedback; Comprehensive evaluation: Conduct comprehensive evaluation by collecting and analyzing students' voice data; Feedback optimization: Optimize teaching design and teaching methods according to the evaluation results; The teaching progress tracking module is a key link to ensure teaching quality. It monitors and records the teaching process in a data-driven manner, including: Learning trajectory: Record students' learning paths and progress, and analyze learning behaviors; Learning status: Understand students' learning status through students' interaction data; Teaching adjustment: Adjust teaching strategies in a timely manner according to the progress tracking results; Evidence accumulation: Provide objective evidence for teaching evaluation; Experience summary: Summarize teaching experience through records to improve teaching quality; Personalized teaching: Achieve personalized teaching based on the recorded data; Automated recording: Using an intelligent system to automatically record key data during the teaching process; Data visualization: Intuitively display the teaching progress and effects through forms such as charts; Data security: Ensure the security of teaching records and protect the privacy of students and teachers.

3. A music teaching audio playback system according to claim 1, characterized in that: The speech recognition module includes a technology module, an algorithm module, and an execution module. The speech recognition module mainly includes three parts: an acoustic model, a language model, and a decoder: Acoustic model: Convert speech signals into acoustic features, such as Mel Frequency Cepstral Coefficients; Language model: Predict possible word sequences according to the grammar and semantic rules of speech; Decoder: Combine the acoustic model and the language model to convert acoustic features into text; Through deep learning frameworks TensorFlow and PyTorch, which provide powerful speech recognition models, and cooperate with open-source libraries Kaldi and CMU Sphinx speech recognition tools, which provide easily integrable APIs; The algorithm module predicts the probability distribution of text sequences through NLP algorithm overviews, segments the text into words or phrases, tags the part of speech for each word in the text, analyzes the sentence structure, identifies components such as subject, predicate, and object, and cooperates with deep learning models recurrent neural network, long short-term memory network, Transformer, and statistical models hidden Markov model, conditional random field to perform text processing based on predefined rules; The algorithm is used for sentiment analysis, spam detection, identifying specific entities in the text, and translating one language into another; The execution module is the process of converting the user's voice instructions into machine-understandable instructions and performing corresponding operations. It understands the semantic meaning of the instructions through NLP algorithms, identifies the specific operations the user wants to perform, and extracts key information from the instructions, such as time and location; According to the parsing results, schedule the execution of corresponding tasks, provide feedback on the operation results to the user, handle errors during the execution process, and provide corresponding solutions.

4. A music teaching audio playback system according to claim 1, characterized in that: The storage module in the hardware system has two capacities and reliability to store rich music teaching audio resources.

5. A music teaching audio playback system according to claim 1, characterized in that: The audio management module in the software system can efficiently classify and retrieve audio files.

6. The music teaching audio playback system according to claim 1, wherein: The playback control module supports playback modes, including single-loop playback, sequential playback, and random playback.

7. The music teaching audio playback system according to claim 1, characterized in that: The intelligent analysis module conducts in-depth analysis based on students' learning data and can formulate personalized learning plans according to different teaching situations.

8. A music teaching audio playback system according to claim 1, characterized in that: The user interface module is designed to be simple, intuitive, and convenient to operate.

9. A method for using a music teaching audio playback system according to any one of claims 1-7, characterized in that: It includes the following steps: The first step: Through the network connection module, it can connect to audio devices such as mobile phones and tablets via Bluetooth, or insert a USB flash drive containing audio files using a USB interface, or connect to an online audio platform using a Wi-Fi network. Then, teachers and students can select the required files in the user interface module, select the audio file to be played found and selected in the file browser or music library of the system through the storage module, and cooperate with the audio output module to adjust the volume size through the volume adjustment button or slider according to the environment and teaching needs for playback. Step 2: If you need to play a certain audio repeatedly through the playback control module, you can select single loop or full loop mode in the playback settings. For example, in a foreign language class, you can loop the conversation recording to help students practice listening. At the same time, the processor module can randomly select audio files from the music library to play, which increases the fun and diversity of teaching. Step 3: Students ask questions in the teaching interaction module through input devices, and then the teacher checks and answers them in time through text, voice, etc. with the help of the voice recognition module in the system. At the same time, the teacher can comment on the students' singing and playing performances through the voice feedback module, and can also encourage students to evaluate each other and improve together. At the same time, the teaching progress tracking module will store the teaching data as a whole, which is convenient for later review; Step 4: Finally, the intelligent analysis module adjusts the audio playback speed appropriately according to the students' learning progress and acceptance ability. For example, when explaining more difficult music theories or complex music, the playback speed can be slowed down. The tone of the audio can be adjusted to suit the performance demonstration of different instruments or the singing practice needs of different students.

Images