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ROBUST DETECTION OF VOICED SEGMENTS IN SAMPLES OF EVERYDAY CONVERSATIONS USING UNSUPERVISED HMMS
We investigate methods for detecting voiced segments in everyday conversations from ambient recordings. Such recordings contain high diversity of background noise, making it difficult or infeasible to collect representative labelled samples for estimating noise-specific HMM models. The popular utili...
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| Publicat a: | SLT Workshop Spok Lang Technol |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7909075/ https://ncbi.nlm.nih.gov/pubmed/33644784 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/slt.2012.6424264 |
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