Kandagatla et al., 2018 - Google Patents
Speech enhancement using MMSE estimation of amplitude and complex speech spectral coefficients under phase-uncertaintyKandagatla et al., 2018
View PDF- Document ID
- 5565113616838524629
- Author
- Kandagatla R
- Subbaiah P
- Publication year
- Publication venue
- Speech Communication
External Links
Snippet
Traditional speech enhancement algorithms are based on amplitude only processing, in which the amplitudes of speech are processed and phase is left unprocessed. Recently, Short Time Fourier Transform (STFT) based single channel speech enhancement algorithms …
- 230000003595 spectral 0 title description 31
Classifications
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- 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
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- G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
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- G10L21/0232—Processing in the frequency domain
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- G10L21/0205—Enhancement of intelligibility of clean or coded speech
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- G10L25/18—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band
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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
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- 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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- G10L17/00—Speaker identification or verification
- G10L17/04—Training, enrolment or model building
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