dos Santos Moura et al., 2021 - Google Patents
Source Extraction based on Binary Masking and Machine Learningdos Santos Moura et al., 2021
- Document ID
- 9698074994658723513
- Author
- dos Santos Moura M
- Lucena A
- Nose Filho K
- Suyama R
- Publication year
- Publication venue
- 2021 Workshop on Communication Networks and Power Systems (WCNPS)
External Links
Snippet
In this article we present a study of a different approach to the source separation problem, exploring neural networks to extract a target speech from a noisy mixture. The solution consider time-frequency representations of the signal, to which a mask is applied in order to …
- 230000000873 masking 0 title description 9
Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
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- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
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- G06K9/62—Methods or arrangements for recognition using electronic means
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