Patent•
Voice processing method, voice processing device and device for processing voice
18 Feb 2020-
TL;DR: In this article, the authors present a method for synthesizing the target voice on the basis of the frequency spectrum of the noisy voice in the complex domain, which has the advantages that the voice distortion degree is reduced, and the voice noise reduction effect is improved.
Abstract: The embodiment of the invention discloses a voice processing method, a voice processing device and a device for processing voice. The embodiment of the method comprises the following steps of performing time-frequency analysis on noisy voice to obtain the frequency spectrum of the noisy voice in complex domains; inputting the frequency spectrum of the noisy voice in the complex fields into a pretrained time-frequency shielding prediction model; obtaining a prediction value of time-frequency masking of the noisy voice in the complex domains; multiplying the prediction value by the frequency spectrum of the noisy voice in the complex domains; generating the frequency spectrum of target voice in the noisy voice in the complex domains; and synthesizing the target voice on the basis of the frequency spectrum of the target voice in the complex domains. The embodiment has the advantages that the voice distortion degree is reduced, and the voice noise reduction effect is improved.
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Patent•
19 Jun 2020
TL;DR: In this article, a reverberation elimination method was proposed to eliminate the reverberation effect and improve the quality of the voice after the elimination of reverberation in the first-amplitude spectrum.
Abstract: The invention relates to a reverberation elimination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a voice signal with reverberation;processing the voice signal with reverberation to obtain a first amplitude spectrum, and obtaining a voice feature with reverberation of the voice signal with reverberation based on the first amplitude spectrum; determining a corresponding time-frequency masking quantity according to the voice characteristics with reverberation, and performing reverberation elimination on the first amplitude spectrum based on the time-frequency masking quantity to obtain a second amplitude spectrum; and determining the voice signal after reverberation elimination according to the second amplitude spectrum. Byadopting the method, the reverberation elimination effect and the voice quality after reverberation elimination can be improved.