FIELD: computer technology.
SUBSTANCE: processing a speech signal with low delay. The method for improving a speech signal comprises obtaining a noisy waveform and sequentially processing blocks of samples of the noisy waveform using a speech signal improvement model to predict the corresponding blocks of samples of the denoised waveform. During this sequential processing of each block of noisy waveform samples, a speech signal improvement model is autoregressively determined by a block of previous denoised waveform samples, wherein this block of previous denoised waveform samples is predicted by the speech signal improvement model earlier in this sequential processing of the block of previous noisy waveform samples. The speech enhancement model is trained in TFM in conjunction with IAC.
EFFECT: increasing the accuracy of processing a speech signal with a low delay.
13 cl, 6 dwg
Title | Year | Author | Number |
---|---|---|---|
UNCONTROLLED VOICE RESTORATION USING UNCONDITIONED DIFFUSION MODEL WITHOUT TEACHER | 2023 |
|
RU2823017C1 |
METHOD AND DEVICE FOR IMPROVING SPEECH SIGNAL USING FAST FOURIER CONVOLUTION | 2022 |
|
RU2795573C1 |
ADAPTIVE AUDIO ENHANCEMENT FOR MULTICHANNEL SPEECH RECOGNITION | 2016 |
|
RU2698153C1 |
METHOD OF TRAINING A CONVOLUTION NEURAL NETWORK TO CARRY OUT TELEROENTGENOGRAM MARKINGS IN A DIRECT AND LATERAL PROJECTIONS | 2019 |
|
RU2717911C1 |
METHOD AND DEVICE FOR ENHANCING SPEECH USING SEVERAL SENSORS | 2005 |
|
RU2389086C2 |
SYSTEM AND METHOD FOR AUTOMATIC MACHINE LEARNING (AutoML) OF COMPUTER VISION MODELS FOR ANALYSING BIOMEDICAL IMAGES | 2021 |
|
RU2787558C1 |
AUDIO DATA GENERATOR AND METHODS OF GENERATING AUDIO SIGNAL AND TRAINING AUDIO DATA GENERATOR | 2021 |
|
RU2823016C1 |
AUDIO DATA GENERATOR AND METHODS OF GENERATING AUDIO SIGNAL AND TRAINING AUDIO DATA GENERATOR | 2021 |
|
RU2823015C1 |
METHOD AND APPARATUS FOR JOINT DEBAYERING AND IMAGE NOISE ELIMINATION USING A NEURAL NETWORK | 2020 |
|
RU2764395C1 |
METHOD AND DEVICE FOR GENERATING VIDEO CLIP FROM TEXT DESCRIPTION AND SEQUENCE OF KEY POINTS SYNTHESIZED BY DIFFUSION MODEL | 2024 |
|
RU2823216C1 |
Authors
Dates
2023-08-24—Published
2023-01-10—Filed