Invention Grant
- Patent Title: Targeted voice separation by speaker conditioned on spectrogram masking
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Application No.: US17567590Application Date: 2022-01-03
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Publication No.: US11922951B2Publication Date: 2024-03-05
- Inventor: Quan Wang , Prashant Sridhar , Ignacio Lopez Moreno , Hannah Muckenhirn
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Gray Ice Higdon
- Main IPC: G10L17/04
- IPC: G10L17/04 ; G10L17/00 ; G10L17/02 ; G10L17/18 ; G10L17/22 ; G10L25/18

Abstract:
Techniques are disclosed that enable processing of audio data to generate one or more refined versions of audio data, where each of the refined versions of audio data isolate one or more utterances of a single respective human speaker. Various implementations generate a refined version of audio data that isolates utterance(s) of a single human speaker by processing a spectrogram representation of the audio data (generated by processing the audio data with a frequency transformation) using a mask generated by processing the spectrogram of the audio data and a speaker embedding for the single human speaker using a trained voice filter model. Output generated over the trained voice filter model is processed using an inverse of the frequency transformation to generate the refined audio data.
Public/Granted literature
- US20220122611A1 TARGETED VOICE SEPARATION BY SPEAKER CONDITIONED ON SPECTROGRAM MASKING Public/Granted day:2022-04-21
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