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Voice processing model training method and device and voice processing method and device

A technology of speech processing and training methods, applied in speech analysis, biological neural network models, instruments, etc.

Pending Publication Date: 2021-02-02
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present disclosure provides a speech processing model training method and its device, a speech processing method and its device, to at least solve the problem of using one neural network to complete speech enhancement and denoising at the same time

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  • Voice processing model training method and device and voice processing method and device
  • Voice processing model training method and device and voice processing method and device

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Embodiment Construction

[0048] The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of embodiments of the present disclosure as defined by the claims and their equivalents. Various specific details are included to aid in understanding but are to be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted for clarity and conciseness.

[0049] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstanc...

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Abstract

The invention provides a voice processing model training method and device and a voice processing method and device. The training method comprises the following steps: generating a mixed signal and atarget signal based on at least one of a voice signal, a noise signal and a specific signal; inputting the mixed signal into a voice processing model to obtain estimated data; determining a loss function based on the target signal and the estimation data; and training the voice processing model based on the loss function so as to adjust parameters of the voice processing model.

Description

technical field [0001] The present disclosure relates to the field of audio technology, and in particular to a speech processing model training method and device thereof, and a speech processing method and device thereof. Background technique [0002] With the rapid development of electronic technology and network technology, electronic equipment can process audio signals in the time-frequency domain based on neural network speech processing algorithms. [0003] Although speech enhancement and noise reduction based on neural networks have achieved performance exceeding traditional signal processing methods, and have been able to run efficiently in electronic equipment, but for speech enhancement (non-speech component unchanged speech component increase) and speech denoising For the problem of noise (speech components remain unchanged and non-speech components become smaller), two neural networks are generally trained to achieve the purpose of speech enhancement and denoising...

Claims

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Application Information

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IPC IPC(8): G10L25/30G10L25/21G10L21/0208G10L21/0216G10L21/034G06N3/04
CPCG10L25/30G10L25/21G10L21/0208G10L21/0216G10L21/034G06N3/045
Inventor 郑羲光李楠任新蕾张晨
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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