Noise reduction translator circuit based on wireless communication

Abstract

The utility model provides a noise reduction translator circuit based on wireless communication. The noise reduction translator circuit comprises an audio processing module, a noise reduction module, a wireless bridge communication module and a loudspeaking module. The audio processing module is connected with the noise reduction module, the noise reduction module is connected with the wireless bridge communication module, the wireless bridge communication module interacts with the Internet, and the audio processing module is further connected with the loudspeaking module. In particular to the technical field of translator manufacturing, compared with the prior art, the noise reduction translator circuit based on wireless communication is simple in structure and easy to implement, and when the noise reduction translator circuit based on wireless communication is applied to a specific translator, the translator can be helped to upload collected voice information to the Internet through wireless communication; the translation model arranged on the internet does not interfere with an existing translation machine circuit, the circuit can be arranged at the same time with the existing translation machine circuit, and a user can select off-line translation or on-line translation conveniently.

Description

Technical Field

[0001] The utility model relates to the technical field of translation machine manufacturing, in particular to a translation machine circuit. Background Art

[0002] Since the mid-1980s, based on the widespread use of corpus and multi-engine machine translation methods, the performance and efficiency of translation machines have been significantly improved, and various types of translation machines have emerged. The translation machines provided in the prior art often exist as independent individuals. Each translation machine is provided with a storage device, which has a built-in mature translation model. The translation model is built based on a machine learning model and is trained in advance with a large amount of corpus. When using this type of translation machine, a microphone is used to input the source sentence into the translation machine. After the translation model analyzes and recognizes it, it is translated into the target sentence and then played to the user through TTS technology. During the whole process, a translation machine will work as an independent translation device.

[0003] On the one hand, when the translation model embedded in the translation machine is first built and trained with input corpus, the input corpus of the same language is often relatively simple. The translation model trained with such corpus is difficult to adapt to the accent differences between different regions in the same language region, and often has problems such as mistranslation and omission of translation. Furthermore, since the translation model embedded in the translation machine is fixed, if the translation model is not upgraded or updated, its internal algorithm settings and parameter settings will always remain in their factory state. In daily use of the translation machine, not only will the user's expression method change, but the language as a whole will also change over time. With the continuous progress and update, more new sentences and new expressions appear, and the unchanging translation model is difficult to adapt to the different situations; finally, for the manufacturers of translation machines, after the translation machine is launched, the voice information input by the user into the translation machine during use is very valuable cutting-edge information. After obtaining the user's permission, it can be used as subsequent corpus for training subsequent translation models, which will help collect more corpus information and expand the corpus source. It will also help the translation model keep up with the language development of the times, master more emerging expressions, and improve the translation accuracy of the model. However, the translation machine provided in the prior art does not have such a function.

[0004] In order to solve the above problems, a cloud-based translation machine has been proposed in the prior art, which aims to replace the original translation model embedded in the translation machine to achieve the translation from the source language to the target language with a translation model set in the cloud for translation, and transmit voice or text information with the help of Internet communication technology. Compared with the offline translation method of the translation machine, this method can better improve the translation accuracy, but at present, such a concept only remains at the framework level, and no specific implementation circuit has been announced for specific implementation. Utility Model Content

[0005] In order to solve the above problems, the utility model proposes a translator circuit, which is connected to the Internet via wireless communication, allowing voice information to be transmitted to the Internet to expand the translation resource library of the translator, thereby improving the accuracy of translation in an online state.

[0006] The utility model is realized by the following technical solutions:

[0007] A noise reduction translator circuit based on wireless communication comprises an audio processing module, a noise reduction module, a wireless bridge communication module and a speaker module; the audio processing module is connected to the noise reduction module, the noise reduction module is connected to the wireless bridge communication module, the wireless bridge communication module interacts with the Internet, and the audio processing module is also connected to the speaker module.

[0008] Furthermore, the audio processing module includes an audio transmission chip and a MEMS audio sensor; the specific model of the audio transmission chip is WT2605X; the specific model of the MEMS audio sensor is MP34DT05TR-A, and the output end of the MEMS audio sensor is connected to the audio transmission chip.

[0009] Furthermore, the audio processing module also includes a Flash memory; the specific model of the Flash memory is W25Q32; the Flash memory is connected to the audio transmission chip. The MEMS audio sensor is responsible for acting as a microphone to collect the voice information of the source language speaker, and convert the speaker's voice information into an electrical signal and transmit it to the audio transmission chip. The audio transmission chip makes an intermediate processor, and its main function is to collect, encode and distribute. Among them, WT2605X is a low-cost and high-efficiency stereo wireless transmission chip. It has the characteristics of high integration, small size, low power consumption, and fast transmission speed. It can be used in the translation machine circuit to more conveniently process the MEMS audio sensor and help transmission, and help the overall circuit of the translation machine to obtain a more compact and more convenient integration effect. The Flash memory W25Q32 is a flash memory that can be operated through a serial peripheral device interface. Setting this Flash memory can help the circuit cope with the situation of large amounts of audio data exchanges, and further improve the user experience.

[0010] Furthermore, the noise reduction module includes a first resistor, a second resistor and a first capacitor; one end of the first resistor is connected to the VCC power supply, and the other end thereof is connected to one end of the second resistor, the other end of the second resistor is connected to one end of the first capacitor, and the other end of the first capacitor is connected to the audio transmission chip; one end of the second capacitor is grounded, and the other end thereof is connected to the common end of the first resistor and the second resistor; the output end of the MEMS audio sensor is connected to the common end of the second resistor and the first capacitor.

[0011] Furthermore, the noise reduction module also includes at least one transient voltage suppression diode and at least one isolation capacitor; the anode of each transient voltage suppression diode is connected to the common end of the MEMS audio sensor and the audio transmission chip, and the cathode of each transient voltage suppression diode is grounded; one end of each isolation capacitor is connected to the common end of the MEMS audio sensor and the audio transmission chip, and the common end of each isolation capacitor is grounded. The source language speaker speaks to the translator, and his voice information is collected by the MEMS audio sensor and converted into an electrical signal. Before the electrical signal is sent to the audio processing module, the technical solution provided by the present application performs multiple noise reduction processes on the electrical signal in advance: on the one hand, multiple transient voltage suppression diodes and multiple isolation capacitors are set on its access line to provide noise reduction protection and electrostatic protection for the line, so as to avoid the environmental clutter from entering the line and causing various noises such as buzzing and humming at the speaker; on the other hand, a first resistor, a second resistor and a first capacitor are set. In specific applications, the first resistor and the second resistor with appropriate resistance values ​​are selected and applied therein to adjust the sensitivity of the entire circuit to the speaker's voice and filter out reasonable noise.

[0012] Furthermore, the wireless bridge communication module includes a WiFi chip, and the specific model of the WiFi chip is V5663; the WiFi chip is connected to the audio transmission chip. As a highly integrated AloT chip that supports Wi-Fi5 and BT5 and has MCU functions, V5663 will act as an MCU to coordinate the data and control of the entire circuit in this technical solution. On the other hand, it will act as a WiFi module. After connecting to the audio transmission module, it will receive the processed and encoded data in the audio transmission chip and connect it to the Internet through the WiFi link. After uploading to the cloud, the dynamic translation model set in the cloud will translate the voice data to achieve the conversion from the source language to the target language and then send it back. Through the wireless bridge communication module, the circuit will build a communication link between the local machine and the Internet. The online state establishes a connection between the source language speaker and the Internet. In this way, the translation machine manufacturer only needs to set the translation model in the cloud, monitor and update the translation model set in the cloud in real time, and after receiving the voice data transmitted by the wireless bridge communication module, translate it with the latest translation model, and then send the translation result back. On the one hand, such a setting improves the accuracy of the translation, and on the other hand, it can also request to collect corpus information with the speaker's consent, helping the translation machine manufacturer to continuously iterate and update its translation model to adapt to language changes in more regions and language evolution over a long period of time, and further ensure the quality of translation.

[0013] Furthermore, the speaker module includes an amplifier driver chip, a left isolation capacitor, a left balancing resistor, a right isolation capacitor, a right balancing resistor and a speaker; the specific model of the amplifier driver chip is LM4890; one end of the left isolation capacitor is connected to the audio transmission chip, and the other end is connected to one end of the left balancing resistor, and the other end of the left balancing resistor is connected to the amplifier driver chip; one end of the right isolation capacitor is connected to the audio transmission chip, and the other end is connected to one end of the right balancing resistor, and the other end of the right balancing resistor is connected to the amplifier driver chip; the two input ends of the speaker are respectively connected to the amplifier driver chip.

[0014] The beneficial effects of the utility model are as follows: compared with the prior art, the present application provides a noise reduction translation machine circuit based on wireless communication, the circuit structure is simple and easy to implement, and when applied to a specific translation machine, it can help the translation machine upload the collected voice information to the Internet through wireless communication, and the translation model set on the Internet completes the translation. The circuit setting does not interfere with the existing translation machine circuit and can be set at the same time as the existing translation machine circuit, so that users can choose offline translation or online translation. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of a noise reduction translator circuit based on wireless communication provided in a specific implementation manner.

[0016] Figure 2 It is a first partial circuit schematic diagram of a noise reduction translator circuit based on wireless communication provided in a specific implementation manner;

[0017] Figure 3 It is a second partial circuit schematic diagram of a noise reduction translator circuit based on wireless communication provided in a specific implementation manner.

[0018] The implementation, functional features and advantages of the present application will be further described in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] In order to more clearly and completely illustrate the technical solution of the present invention, the present invention is further described below in conjunction with the accompanying drawings.

[0020] Please refer to Figure 1-Figure 3 .

[0021] In this specific embodiment, a noise reduction translation machine circuit based on wireless communication is proposed, and the circuit includes an audio processing module 100, a noise reduction module 200, a wireless bridge communication module 300 and a speaker module 400; the audio processing module 100 is connected to the noise reduction module 200, the noise reduction module 200 is connected to the wireless bridge communication module 300, the wireless bridge communication module 300 interacts with the Internet, and the audio processing module 100 is also connected to the speaker module 400. The circuit structure is simple and easy to implement. When applied to a specific translation machine, it can help the translation machine upload the collected voice information to the Internet through wireless communication, and the translation model set on the Internet completes the translation. The circuit setting does not interfere with the existing translation machine circuit, and can be set simultaneously with the existing translation machine circuit, so that users can choose offline translation or online translation.

[0022] Furthermore, in this specific embodiment, the audio processing module 100 includes an audio transmission chip U1 and a MEMS audio sensor U4; the specific model of the audio transmission chip U1 is WT2605X; the specific model of the MEMS audio sensor U4 is MP34DT05TR-A, and the output end of the MEMS audio sensor U4 is connected to the audio transmission chip U1.

[0023] Furthermore, in this specific embodiment, the audio processing module 100 also includes a Flash memory U2; the specific model of the Flash memory U2 is W25Q32; the Flash memory U2 is connected to the audio transmission chip U1, wherein pins 5 and 6 of the Flash memory U2 are respectively connected to pins 19 and 20 of the audio transmission chip U1, and pins 3, 7, and 8 of the Flash memory U2 are all connected to pin 9 of the audio transmission chip U1.

[0024] The MEMS audio sensor U4 is responsible for acting as a microphone to collect the source speaker's voice information, and convert the speaker's voice information into electrical signals and transmit it to the audio transmission chip U1. The audio transmission chip U1 acts as an intermediate processor, and its main function is to collect, encode and distribute. Among them, WT2605X is a low-cost and high-efficiency stereo wireless transmission chip with high integration, small size, low power consumption, and fast transmission speed. It can be used in the translator circuit to more conveniently process the MEMS audio sensor U4 and help transmit, helping the overall translator circuit to achieve a more compact and more convenient integration effect. The Flash memory W25Q32 is a flash memory U2 that can be operated through the serial peripheral device interface. Setting the Flash memory U2 can help the circuit cope with large amounts of audio data exchanges, further improving the user experience.

[0025] Reference Figure 2In this specific embodiment, the noise reduction module 200 includes a first resistor R1, a second resistor R2 and a first capacitor C1; one end of the first resistor R1 is connected to the VCC power supply VDDAC, and the other end thereof is connected to one end of the second resistor R2, the other end of the second resistor R2 is connected to one end of the first capacitor C1, and the other end of the first capacitor C1 is connected to the audio transmission chip U1; one end of the second capacitor is grounded, and the other end thereof is connected to the common end of the first resistor R1 and the second resistor R2; the output end of the MEMS audio sensor U4 is connected to the common end of the second resistor R2 and the first capacitor C1.

[0026] Furthermore, in this specific embodiment, the noise reduction module 200 also includes at least one transient voltage suppression diode and at least one isolation capacitor. In this embodiment, there are two transient voltage suppression diodes, namely diode D1 and diode D2, and there are three isolation capacitors, namely capacitor C121, capacitor C122, and capacitor C123; the anode of each transient voltage suppression diode is connected to the common end of the MEMS audio sensor U4 and the audio transmission chip U1, and the cathode of each transient voltage suppression diode is grounded respectively; one end of each isolation capacitor is connected to the common end of the MEMS audio sensor U4 and the audio transmission chip U1, and the common end of each isolation capacitor is grounded respectively. The source language speaker speaks to the translation machine, and his voice information is collected by the MEMS audio sensor U4 and converted into an electrical signal. Before the electrical signal is sent to the audio processing module 100, the technical solution provided by the present application performs multiple noise reduction processing on the electrical signal in advance: on the one hand, multiple transient voltage suppression diodes and multiple isolation capacitors are set on its access line to provide noise reduction protection and electrostatic protection for the line to prevent environmental noise from entering the line and causing various noises such as buzzing and humming at the speaker; on the other hand, a first resistor R1, a second resistor R2 and a first capacitor C1 are set. In specific applications, the first resistor R1 and the second resistor R2 with appropriate resistance values ​​are selected and used to adjust the sensitivity of the entire circuit to the speaker's voice and filter out reasonable noise.

[0027] Furthermore, in this specific embodiment, the wireless bridge communication module 300 includes a WiFi chip U3, and the specific model of the WiFi chip U3 is V5663; the WiFi chip U3 is connected to the audio transmission chip U1. As a highly integrated AloT chip that supports Wi-Fi5 and BT5 and has MCU functions, V5663, in this technical solution, on the one hand, acts as an MCU to coordinate the data and control of the entire circuit, and on the other hand, acts as a WiFi module. After connecting to the audio transmission module, it receives the processed and encoded data in the audio transmission chip U1, and connects it to the Internet through a WiFi link. After uploading to the cloud, the dynamic translation model set in the cloud will translate the voice data, realize the conversion from the source language to the target language, and then send it back. Through the wireless bridge communication module 300, the circuit will build a communication link between the local machine and the Internet. The connection between the source language speaker and the Internet is established in an online state. In this way, the translation machine manufacturer only needs to set the translation model in the cloud, monitor and update the translation model set in the cloud in real time, and after receiving the voice data transmitted by the wireless bridge communication module 300, translate it with the latest translation model, and then send the translation result back. On the one hand, such a setting improves the accuracy of the translation, and on the other hand, it can also request to collect corpus information with the consent of the speaker, helping the translation machine manufacturer to continuously iterate and update its translation model to adapt to language changes in more regions and language evolution over a long period of time, and further ensure the quality of translation.

[0028] Reference Figure 3 In this specific embodiment, the speaker module 400 includes an amplifier driver chip U5, a left isolation capacitor C45, a left balancing resistor R22, a right isolation capacitor C46, ​​a right balancing resistor R21 and a speaker SPK; the specific model of the amplifier driver chip U5 is LM4890; one end of the left isolation capacitor C45 is connected to the audio transmission chip U1, and the other end thereof is connected to one end of the left balancing resistor R22, and the other end of the left balancing resistor R22 is connected to the amplifier driver chip U5; one end of the right isolation capacitor C46 is connected to the audio transmission chip U1, and the other end thereof is connected to one end of the right balancing resistor R21, and the other end of the right balancing resistor R21 is connected to the amplifier driver chip U5; the two input ends of the speaker SPK are respectively connected to the amplifier driver chip U5.

[0029] Of course, the present utility model may have many other implementations. Based on the present implementation, other implementations obtained by ordinary technicians in this field without any creative work are all within the scope of protection of the present utility model.

Claims

1. A noise reduction translator circuit based on wireless communication, characterized in that: The circuit includes an audio processing module, a noise reduction module, a wireless bridge communication module and a speaker module; the audio processing module is connected to the noise reduction module, the noise reduction module is connected to the wireless bridge communication module, the wireless bridge communication module interacts with the Internet, and the audio processing module is also connected to the speaker module.

2. The noise reduction translator circuit based on wireless communication as claimed in claim 1, characterized in that: The audio processing module includes an audio transmission chip and a MEMS audio sensor; the specific model of the audio transmission chip is WT2605X; the specific model of the MEMS audio sensor is MP34DT05TR-A, and the output end of the MEMS audio sensor is connected to the audio transmission chip.

3. The noise reduction translator circuit based on wireless communication as claimed in claim 2, characterized in that: The audio processing module also includes a Flash memory; the specific model of the Flash memory is W25Q32; the Flash memory is connected to the audio transmission chip.

4. The noise reduction translator circuit based on wireless communication as claimed in claim 2, characterized in that: The noise reduction module includes a first resistor, a second resistor and a first capacitor; one end of the first resistor is connected to a VCC power supply, and the other end thereof is connected to one end of the second resistor, the other end of the second resistor is connected to one end of the first capacitor, and the other end of the first capacitor is connected to the audio transmission chip; one end of the second capacitor is grounded, and the other end thereof is connected to a common end of the first resistor and the second resistor; The output end of the MEMS audio sensor is connected to the common end of the second resistor and the first capacitor.

5. The noise reduction translator circuit based on wireless communication as claimed in claim 4, characterized in that: The noise reduction module also includes at least one transient voltage suppression diode and at least one isolation capacitor; the anode of each transient voltage suppression diode is connected to the common end of the MEMS audio sensor and the audio transmission chip, and the cathode of each transient voltage suppression diode is grounded respectively; one end of each isolation capacitor is connected to the common end of the MEMS audio sensor and the audio transmission chip, and the common end of each isolation capacitor is grounded respectively.

6. The noise reduction translator circuit based on wireless communication as claimed in claim 5, characterized in that: The wireless bridge communication module includes a WiFi chip, and the specific model of the WiFi chip is V5663; the WiFi chip is connected to the audio transmission chip.

7. The noise reduction translator circuit based on wireless communication as claimed in claim 5, characterized in that: The speaker module includes a power amplifier driver chip, a left isolation capacitor, a left balancing resistor, a right isolation capacitor, a right balancing resistor and a speaker; the specific model of the power amplifier driver chip is LM4890; one end of the left isolation capacitor is connected to the audio transmission chip, and the other end of the left isolation capacitor is connected to one end of the left balancing resistor, and the other end of the left balancing resistor is connected to the power amplifier driver chip; one end of the right isolation capacitor is connected to the audio transmission chip, and the other end of the right isolation capacitor is connected to one end of the right balancing resistor, and the other end of the right balancing resistor is connected to the power amplifier driver chip; the two input ends of the speaker are respectively connected to the power amplifier driver chip.

Images