View source for 18582989. TRAINING METHOD AND ENHANCEMENT METHOD FOR SPEECH ENHANCEMENT MODEL, APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT simplified abstract (TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED)

=TRAINING METHOD AND ENHANCEMENT METHOD FOR SPEECH ENHANCEMENT MODEL, APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT=


==Organization Name==

[[:Category:TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED|TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED]]


[[Category:TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED]]

==Inventor(s)==

[[:Category:Xuefei Fang of Shenzhen (CN)|Xuefei Fang of Shenzhen (CN)]][[Category:Xuefei Fang of Shenzhen (CN)]]

[[:Category:Dong Yang of Shenzhen (CN)|Dong Yang of Shenzhen (CN)]][[Category:Dong Yang of Shenzhen (CN)]]

[[:Category:Muyong Cao of Shenzhen (CN)|Muyong Cao of Shenzhen (CN)]][[Category:Muyong Cao of Shenzhen (CN)]]

==TRAINING METHOD AND ENHANCEMENT METHOD FOR SPEECH ENHANCEMENT MODEL, APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18582989 titled 'TRAINING METHOD AND ENHANCEMENT METHOD FOR SPEECH ENHANCEMENT MODEL, APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT

==Simplified Explanation==
The patent application describes a training method and enhancement method for a speech enhancement model, along with related apparatus and programs. The method involves correcting amplitude values of a clean speech signal based on phase differences to improve speech quality.

==Key Features and Innovation==
* Training method for a speech enhancement model
* Correction of amplitude values based on phase differences
* Update of model parameters based on loss value

==Potential Applications==
This technology can be used in:
* Speech recognition systems
* Telecommunication devices
* Audio processing software

==Problems Solved==
* Improving speech quality in noisy environments
* Enhancing speech intelligibility
* Optimizing speech enhancement models

==Benefits==
* Clearer and more intelligible speech output
* Enhanced performance of speech recognition systems
* Improved user experience in noisy environments

==Commercial Applications==
* This technology can be applied in industries such as telecommunications, audio processing, and speech recognition software, enhancing the quality and performance of products in these sectors.

==Prior Art==
Readers can explore prior research on speech enhancement models, phase correction techniques, and noise reduction algorithms in the field of audio signal processing.

==Frequently Updated Research==
Stay updated on advancements in speech enhancement models, phase correction methods, and noise reduction algorithms to further improve the performance of speech processing systems.

==Questions about Speech Enhancement Technology==
===How does this technology improve speech quality in noisy environments?===
This technology corrects amplitude values of a clean speech signal based on phase differences, resulting in clearer and more intelligible speech output in noisy environments.

===What are the potential applications of this speech enhancement model?===
This technology can be applied in speech recognition systems, telecommunication devices, and audio processing software to enhance speech quality and intelligibility.


==Original Abstract Submitted==

A training method and an enhancement method for a speech enhancement model, an apparatus, an electronic device, a storage medium, and a program product are described. A training method for the model may include: invoking the model based on a noisy speech feature of a speech signal, to obtain first predicted mask values in an auditory domain. A first amplitude and first phase of the noisy speech signal, and a second amplitude and second phase of a clean speech signal may then be obtained. A phase difference at each frequency point may be determined based on the phases. The second amplitude corresponding to each frequency point may be corrected based on the phase difference at each frequency point, to obtain a corrected second amplitude corresponding to each frequency point. A loss value is determined, and parameters of the speech enhancement model may be updated based on the loss value.



[[Category:G10L21/0324]]
[[Category:CPC_G10L21/0324]]