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Measuring time-frequency importance functions of speech with bubble noisea)
Listeners can reliably perceive speech in noisy conditions, but it is not well understood what specific features of speech they use to do this. This paper introduces a data-driven framework to identify the time-frequency locations of these features. Using the same speech utterance mixed with many di...
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| Pubblicato in: | J Acoust Soc Am |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Acoustical Society of America
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6910024/ https://ncbi.nlm.nih.gov/pubmed/27794278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/1.4964102 |
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