Hussain et al., 2022 - Google Patents
A speech intelligibility enhancement model based on canonical correlation and deep learning for hearing-assistive technologiesHussain et al., 2022
View PDF- Document ID
- 17849145997035737466
- Author
- Hussain T
- Diyan M
- Gogate M
- Dashtipour K
- Adeel A
- Tsao Y
- Hussain A
- Publication year
- Publication venue
- arXiv preprint arXiv:2202.04172
External Links
Snippet
Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are generally trained to minimise the distance between clean and enhanced speech features. These often result in improved speech quality however they suffer from lack …
- 238000011156 evaluation 0 abstract description 15
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- 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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