Training method of noise reduction model, speech noise reduction method, device and electronic equipment
By performing reverberation processing and training on the source noisy speech data, generating multi-channel reverberation noisy speech data, and training the speech noise reduction model, the problems of slow noise reduction speed and poor real-time performance in the existing technology are solved, and efficient speech noise reduction effect is achieved.
Patent Information
- Application Number
- CN202210828584.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-07-13
- Publication Date
- 2025-10-10
- Estimated Expiration
- 2042-07-13
AI Technical Summary
The existing technology has a slow processing speed for noise reduction of noisy speech, poor real-time performance, and cannot guarantee noise reduction efficiency.
By obtaining the source noisy speech data and performing reverberation processing, multi-channel reverberation noisy speech data is generated as training samples. The multi-channel reverberation noisy speech data is used to train the speech denoising model, including short-time Fourier transform, time-frequency masking and parameter adjustment, to generate a lightweight speech denoising model.
It improves the real-time and robustness of the speech noise reduction model, enhances the accuracy of voice data information transmission, reduces the impact of noise, and is suitable for multi-scenario applications.