Methods for Speech Intelligibility Enhancement
Modulation domain has been reported to be a better alternative to Frequency domain for speech enhancement, as speech intelligibility is closely linked with the modulation spectrum. This suggests that the modulation spectrum may assist in the demarcation of speech and noise. Motivated by that, this t...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/57107 |
| _version_ | 1848760010786471936 |
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| author | Singh, Maneesh Kumar |
| author_facet | Singh, Maneesh Kumar |
| author_sort | Singh, Maneesh Kumar |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Modulation domain has been reported to be a better alternative to Frequency domain for speech enhancement, as speech intelligibility is closely linked with the modulation spectrum. This suggests that the modulation spectrum may assist in the demarcation of speech and noise. Motivated by that, this thesis investigates the role of modulation domain towards the speech intelligibility improvements. Acknowledging the fact that the Gaussian assumption for all noise DFT coefficients does not necessarily hold, this thesis suggests the best noise density function which is suitable for both the frequency and modulation domain based speech applications. |
| first_indexed | 2025-11-14T10:08:59Z |
| format | Thesis |
| id | curtin-20.500.11937-57107 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:08:59Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-571072022-10-14T00:26:58Z Methods for Speech Intelligibility Enhancement Singh, Maneesh Kumar Modulation domain has been reported to be a better alternative to Frequency domain for speech enhancement, as speech intelligibility is closely linked with the modulation spectrum. This suggests that the modulation spectrum may assist in the demarcation of speech and noise. Motivated by that, this thesis investigates the role of modulation domain towards the speech intelligibility improvements. Acknowledging the fact that the Gaussian assumption for all noise DFT coefficients does not necessarily hold, this thesis suggests the best noise density function which is suitable for both the frequency and modulation domain based speech applications. 2017 Thesis http://hdl.handle.net/20.500.11937/57107 Curtin University fulltext |
| spellingShingle | Singh, Maneesh Kumar Methods for Speech Intelligibility Enhancement |
| title | Methods for Speech Intelligibility Enhancement |
| title_full | Methods for Speech Intelligibility Enhancement |
| title_fullStr | Methods for Speech Intelligibility Enhancement |
| title_full_unstemmed | Methods for Speech Intelligibility Enhancement |
| title_short | Methods for Speech Intelligibility Enhancement |
| title_sort | methods for speech intelligibility enhancement |
| url | http://hdl.handle.net/20.500.11937/57107 |