Learning earphone and system for assisting reading

Abstract

The invention belongs to the technical field of earphones, and discloses a learning earphone and system for assisting reading, and the learning earphone comprises a processor, an audio collection module, a noise reduction module, an audio playing module, and a communication module. The audio acquisition module, the noise reduction module and the communication module are all electrically connected with the processor, the audio acquisition module is further electrically connected with the noise reduction module, and the audio playing module is electrically connected with the noise reduction module. The noise reduction module has good noise reduction performance, and user experience can be improved; the learning earphone is integrated with the communication module and can be in communication connection with the user terminal through the communication module, the learning earphone and the user terminal can communicate with each other, learning tasks can be made remotely, and interaction performance is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of earphones, and particularly relates to a learning earphone and system for assisting reading aloud. Background Art

[0002] With the development of technology, earphones have become an indispensable tool in the learning process, especially in language learning and listening training. However, listening to high-volume content through earphones for a long time may cause hearing damage, especially for adolescent students. Therefore, researching how to improve learning efficiency and protect hearing through earphones has become an important topic.

[0003] And the current learning earphones on the market at least have the following defects: 1. The noise reduction effect of existing learning earphones is poor; 2. Existing learning earphones have a single function and poor interaction performance with users and other devices. Summary of the Invention

[0004] The purpose of the present invention is to provide a learning earphone for assisting reading aloud, so as to solve the problems of poor noise reduction effect and poor interactivity existing in existing learning earphones.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a learning earphone for assisting reading aloud, and the learning earphone includes: a processor, an audio acquisition module, a noise reduction module, an audio playback module, and a communication module; The audio acquisition module, the noise reduction module, and the communication module are all electrically connected to the processor, the audio acquisition module is also electrically connected to the noise reduction module, and the audio playback module is electrically connected to the noise reduction module.

[0006] Preferably, the learning earphone further includes: a storage module, and the storage module is electrically connected to the processor.

[0007] Preferably, the learning earphone further includes: a control panel module, and the control panel module is electrically connected to the processor.

[0008] Preferably, the processor is an STM32 single-chip microcomputer.

[0009] Preferably, the noise reduction module adopts an AS3430 noise reduction chip.

[0010] Preferably, the audio acquisition module includes: at least one microphone and an AD converter, the signal output ends of the at least one microphone are respectively electrically connected to the signal input end of the AD converter and the signal input end of the noise reduction module, and the signal output end of the AD converter is electrically connected to the IO port of the processor.

[0011] In a second aspect, the present invention further provides a learning system for assisting reading aloud, the learning system comprising: a learning earphone for assisting reading aloud and a user terminal, the learning earphone being communicatively connected to the user terminal through a communication module; The user terminal is configured to: generate a learning task according to a pre-configured learning plan of the user and send the learning task to the learning earphone, wherein the learning task has a learning priority; The learning earphone is configured to: store, modify and reconfigure the received learning task, and generate a learning prompt according to the learning priority, the learning prompt being used to prompt the learner to complete the learning task of the current learning priority; The learning earphone is further configured to: collect the reading voice of the learner during the reading learning process, recognize the reading voice to obtain a reading learning result, and visually display the reading learning result locally and / or upload the reading learning result to the user terminal for visual display on the user terminal.

[0012] Preferably, the learning earphone is further configured to: determine whether the learner executes the learning task within a preset reading cut-off time, and if not, generate a forgetting prompt and upload the forgetting prompt to the user terminal for visual display on the user terminal.

[0013] Advantageous effects: 1. After the audio acquisition module of the present invention acquires an audio signal, one path is uploaded to the processor for analysis and processing, and the other path is sent to the noise reduction module to perform noise reduction processing on the acquired audio signal. The noise-reduced audio signal is then sent to the audio playback module, and the audio signal is played by the audio playback module. At this time, the user can clearly hear his own reading voice, which helps to correct pronunciation and improve the memorization efficiency; 2. By deploying a noise reduction module between the audio acquisition module and the audio playback module in the present invention, the acquired audio signal is directly sent to the audio playback module after being subjected to noise reduction processing by the noise reduction module, reducing the complexity of the circuit. The noise reduction module has good noise reduction performance and can improve the user experience; 3. The learning earphone of the present invention is integrated with a communication module. The learning earphone can be communicatively connected to the user terminal through the communication module, and the two can communicate with each other, enabling remote formulation of learning tasks and improving the interaction performance. Description of the Drawings

[0014] The drawings are used to provide a further understanding of the embodiments of the present invention and form a part of the specification, and are used together with the following specific embodiments to explain the embodiments of the present invention, but do not constitute a limitation to the embodiments of the present invention. In the drawings: Figure 1 is a block diagram of a learning earphone for assisting reading aloud provided by an embodiment of the present invention; Figure 2 It is the circuit schematic diagram of the microphone for collecting audio signals provided by an embodiment of the present invention; Figure 3 It is the circuit schematic diagram of the storage module provided by an embodiment of the present invention; Figure 4 It is the circuit schematic diagram of the communication module provided by an embodiment of the present invention; Figure 5 It is the circuit schematic diagram of the noise reduction module provided by an embodiment of the present invention; Figure 6 It is the block diagram of the learning system for assisting reading provided by an embodiment of the present invention. Specific embodiments

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in combination with the accompanying drawings and the description of the embodiments or the prior art. Obviously, the following descriptions of the structures of the accompanying drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other accompanying drawings can be obtained based on these drawings without creative efforts. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but do not constitute a limitation to the present invention.

[0016] Embodiment 1 Figure 1 It is the block diagram of the learning earphone for assisting reading provided by an embodiment of the present invention. As Figure 1 shown, this embodiment provides a learning earphone for assisting reading, and the learning earphone includes: a processor, an audio collection module, a noise reduction module, an audio playback module, and a communication module; The audio collection module, the noise reduction module, and the communication module are all electrically connected to the processor. The audio collection module is also electrically connected to the noise reduction module, and the audio playback module is electrically connected to the noise reduction module.

[0017] In this embodiment, after the learning earphone is worn on the ear of the learner's head, the audio collection module can collect external sounds in real time. The external sounds include the learner's reading voice and environmental sounds. Among them, other sounds except the reading voice are defined as noise.

[0018] In this embodiment, after the audio collection module collects the audio signal, it is uploaded to the processor for analysis and processing, and the content of the reading can be recognized to judge the learner's reading situation, such as whether the reading is correct, the degree of completion of the reading, etc.

[0019] Another path is sent to the noise reduction module to perform noise reduction processing on the collected audio signal. The noise-reduced audio signal is then sent to the audio playback module, and the audio playback module plays the audio signal. At this time, the user can clearly hear the sound of their own reading, which helps to correct pronunciation and improve the recitation efficiency.

[0020] In this embodiment, a noise reduction module is deployed between the audio acquisition module and the audio playback module. The collected audio signal is directly sent to the audio playback module after being directly processed by the noise reduction module through noise reduction, which reduces the complexity of the circuit. The noise reduction module has good noise reduction performance and can improve the user experience.

[0021] As a further optimization of this embodiment, the audio acquisition module includes: at least one microphone and an AD converter. The signal output ends of the at least one microphone are respectively electrically connected to the signal input end of the AD converter and the signal input end of the noise reduction module, and the signal output end of the AD converter is electrically connected to the IO port of the processor.

[0022] In this embodiment, the microphone is used to collect the audio signal when the learner is reading. At this time, the audio signal is an analog signal. The AD converter is used to convert the analog audio signal into a digital audio signal for the processor to analyze and process. The processor in this embodiment preferably uses an STM32 single-chip microcomputer.

[0023] In this embodiment, the circuit schematic diagram of the microphone collecting the audio signal is as Figure 2 shown, and mainly includes: an LM386 power amplifier, a microphone MIC, and peripheral circuits; among them, LM386 is a power amplifier, which has the advantages of low self-power consumption, adjustable gain, large power supply voltage range, few external components, and small total harmonic distortion. The microphone converts the audio signal into an electrical signal, then sends the signal to pin 3 of the LM386, and outputs them to pin 5 (the OUT pin of the module) through an external circuit.

[0024] As a further optimization of this embodiment, the learning earphone further includes: a storage module, and the storage module is electrically connected to the processor.

[0025] As Figure 3 shown, the storage module includes: a storage chip U0701, a resistor R0701, a resistor R0702, a resistor R0703, a resistor R0704, a resistor R0705, and a resistor R0706; The first end of the resistor R0701 is electrically connected to the first end of the storage chip U0701, the first end of the resistor R0702 is electrically connected to the second end of the storage chip U0701, the first end of the resistor R0703 is electrically connected to the third end of the storage chip U0701, the first end of the resistor R0704 is electrically connected to the fifth end of the storage chip U0701, the first end of the resistor R0705 is electrically connected to the seventh end of the storage chip U0701, and the first end of the resistor R0706 is electrically connected to the eighth end of the storage chip U0701; The fourth end of the storage chip U0701, the second ends of the resistor R0701, the resistor R0702, the resistor R0703, the resistor R0705, and the resistor R0706 are all connected to the power supply; The second end of the resistor R0704 is electrically connected to the processor, and the sixth end of the storage chip U0701 is grounded.

[0026] In this embodiment, the storage chip U0701 uses an SD-MICRO-TF card, that is, an SD card. The SD card supports two bus modes: the SD mode and the SPI mode; among them, the SD mode uses a 6-wire system and uses CLK, CMD, DAT0~DAT3 for data communication. The SPI mode uses a 4-wire system and uses CS, CLK, DataIn, and DataOut for data communication. The data transfer speed in the SD mode is faster than that in the SPI mode. When using a single-chip microcomputer to read and write the SD card, the SPI mode is generally used.

[0027] The SPI communication interface of the SD card enables it to read and write data through the SPI channel. From the perspective of application, the advantage of using the SPI interface is that many single-chip microcomputers have an SPI controller built-in, which not only brings convenience to development, but also reduces the development cost; however, it also has disadvantages, such as losing the performance advantages of the SD card. To solve this problem, the SD mode should be used because it provides a larger bus data bandwidth; the selection of the SPI interface is carried out when writing the first command to it at the initial power-on.

[0028] As a further optimization of this embodiment, the communication module preferably uses NB-IOT narrowband Internet of Things ((NarrowBand Internet of Things, NB-IoT)). The circuit diagram of the communication module is as Figure 4 shown. The NB module is built on a cellular network, consumes about 180 kHz of bandwidth, and can be directly deployed on a GSM (Global System for Mobile Communications) network, a UMTS (Universal Mobile Telecommunications System) network, or an LTE (Long Term Evolution) network.

[0029] NB modules can be used in hardware design. Using NB modules has the following advantages: a) The compatibility design of the modules in the same series can be done in advance. For example, the compatibility design of the BC28, BC25 and other series can be done first, and the modules can be replaced directly without redrawing the board; b) The SIM card circuit can be designed to be compatible with both SMD cards and plug-in cards.

[0030] As a further optimization of this embodiment, the noise reduction module adopts AS3430 noise reduction chip, such as Figure 5 As shown. The AS3430 noise reduction chip has a speaker driver function with environmental noise reduction function, and can choose to use the internal OTP-ROM to store microphone gain calibration settings. It adopts a simpler feedforward topology to effectively reduce low-frequency background noise; it has 1 or 2 filter stages that can be used to reduce the noise range of a larger frequency, and even implements transfer function equalization such as speaker, Baxandall equalization, high / low shelf filters and set predefined loop bandwidth.

[0031] As a further optimization of this embodiment, the learning headset further includes: a clock module, the clock module is electrically connected to the processor, and the clock module uses a 555 timer; the clock module has the following functions: 1. The 555 timer generates a standard "second" signal of 1Hz; the "second counter" is a sexagesimal counter of 00 to 59; the "minute counter" is a sexagesimal counter of 00 to 59; the "hour counter" is a twenty-fourteen-decimal counter of 00 to 23; 2. The "week counter" is a seven-base counter for 1, 2, 3, 4, 5, 6, and 1 day;.

[0032] 3. The "day counter" can be a 28-, 29-, 30-, or 31-base counter depending on the month; 4. Long month: 1, 3, 5, 7, 8, 10, 12 - 31 days; short month: 4, 6, 9, 11 - 30 days; February in a leap year: 29 days; February in a normal year: 28 days; "Month counter" is a duodecimal counter from 1 to 12; 5. It has the time calibration function, that is, as long as the switch is placed in the time calibration position, the "year, month, day, week, hour, and minute" can be calibrated by manual pulse input or continuous pulse input.

[0033] 6. Alarm clock and hourly time announcement.

[0034] As a further optimization of this embodiment, the learning headset also includes: a control panel module, and the control panel module is electrically connected to the processor.

[0035] In this embodiment, the control panel module adopts a TFT-LCD (Thin Film Transistor) liquid crystal display screen. The liquid crystal display screen is a thin-film transistor type liquid crystal display screen, that is, "true color" (TFT). Each pixel of the TFT liquid crystal is provided with a semiconductor switch, and each pixel can be directly controlled by dot pulses. Therefore, each node is relatively independent and can be continuously controlled, which not only improves the response speed of the display screen, but also can accurately control the display color gradation. So the color of the TFT liquid crystal is more vivid.

[0036] In this embodiment, the size of the LCD touch screen can be selected according to the size of the learning earphone. The LCD touch screen is externally connected in a 16-bit parallel mode. The reason for not using the 8-bit mode is that the data volume of the color screen is relatively large, especially when displaying pictures. If 8-bit data lines are used, it will be more than twice as slow as the 16-bit mode.

[0037] As a further optimization of this embodiment, this embodiment can also adopt a method to filter the audio signal collected by the audio acquisition module. For example: 1. The microphone is placed outside the earphone to directly pick up the noise signal in the environment. Before the noise enters the ear, the system generates an opposite sound wave signal to cancel the noise; 2. The microphone is placed inside the earphone, close to the ear. It generates an inverted sound wave for noise reduction by detecting the actual noise signal inside the ear; 3. One microphone is placed outside and one inside the earphone, which can not only capture the external environmental noise, but also detect the noise inside the ear canal, so as to achieve more accurate and efficient noise cancellation; 4. Using a dynamic filtering algorithm, automatically adjust the inverted signal according to the change of the noise frequency to ensure the best noise reduction effect is always maintained in a changing environment.

[0038] Embodiment 2 Figure 6 It is a block diagram of a learning system for assisted reading provided by an embodiment of the present invention. As Figure 6 shown, this embodiment provides a learning system for assisted reading. The learning system includes: the learning earphone for assisted reading and the user terminal in Embodiment 1. The learning earphone is communicatively connected to the user terminal through a communication module; wherein, the user terminal can be an intelligent device such as a mobile phone or a computer.

[0039] The user terminal is used for: generating a learning task according to the learning plan pre-configured by the user, and sending the learning task to the learning earphone, wherein the learning task has a learning priority, and the learning priority is determined by importance and urgency; The learning earphone is used for: storing, modifying and reconfiguring the received learning tasks, and generating learning prompts according to the learning priorities, where the learning prompts are used to prompt the learner to complete the learning tasks with the current learning priorities; The learning earphone is further used for: collecting the reading voice of the learner during the reading learning process, recognizing the reading voice to obtain the reading learning result, and visually displaying the reading learning result locally and / or uploading the reading learning result to the user terminal for visual display on the user terminal, where the reading learning result includes: the reading progress of the learner, reading errors, etc. In this embodiment, after the learner completes the learning task, the future learning prompts are optimized according to the feedback information such as the reading learning result.

[0040] As a further optimization of this embodiment, the learning earphone is further used for: determining whether the learner executes the learning task within a preset reading deadline, and if not, generating a forgetting prompt and uploading the forgetting prompt to the user terminal for visual display on the user terminal; where the way of the forgetting prompt is: sending a text message reminder or ringing an alarm to remind the user (it can be the parent or the learner himself).

[0041] The learning earphone of the present invention can be communicatively connected to the user terminal through the communication module, and the two can communicate with each other, and learning tasks can be remotely formulated to improve the interaction performance.

[0042] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A learning headset for assisting reading aloud, characterized in that: The learning headset comprises: a processor, an audio acquisition module, a noise reduction module, an audio playback module and a communication module; The audio acquisition module, the noise reduction module and the communication module are all electrically connected to the processor, the audio acquisition module is also electrically connected to the noise reduction module, and the audio playback module is electrically connected to the noise reduction module.

2. The learning headset for assisting reading aloud according to claim 1, characterized in that: The learning headset further includes a storage module, and the storage module is electrically connected to the processor.

3. The learning earphone for assisting reading aloud according to claim 1, characterized in that: The learning headset further comprises: a control panel module, and the control panel module is electrically connected to the processor.

4. The learning earphone for assisting reading aloud according to claim 1, characterized in that: The processor is an STM32 single-chip microcomputer.

5. The learning earphone for assisting reading aloud according to claim 1, characterized in that: The noise reduction module adopts the AS3430 noise reduction chip.

6. The learning earphone for assisting reading aloud according to claim 1, characterized in that: The audio acquisition module includes: at least one microphone and an AD converter, the signal output end of the at least one microphone is electrically connected to the signal input end of the AD converter and the signal input end of the noise reduction module respectively, and the signal output end of the AD converter is electrically connected to the IO port of the processor.

7. A learning system for assisting reading aloud, characterized in that: The learning system comprises: a learning headset for assisting reading aloud as claimed in any one of claims 1 to 6 and a user terminal, wherein the learning headset is communicatively connected to the user terminal via a communication module; The user terminal is used to: generate a learning task according to a learning plan preconfigured by the user, and send the learning task to the learning headset, wherein the learning task has a learning priority; The learning headset is used to: store, modify and reconfigure the received learning tasks, and generate learning prompts according to the learning priorities, wherein the learning prompts are used to prompt the learners to complete the learning tasks of the current learning priority; The learning headset is also used to collect the learner's reading voice during the reading learning process, recognize the reading voice, obtain the reading learning result, and visualize the reading learning result locally and / or upload the reading learning result to the user terminal for visualization on the user terminal.

8. The learning system for assisting reading aloud according to claim 7, characterized in that: The learning headset is also used to determine whether the learner performs the learning task within the preset reading deadline. If not, generate a forgetting prompt, upload the forgetting prompt to the user terminal, and visualize the forgetting prompt on the user terminal.

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