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Unsupervised Adaptation of Categorical Prosody Models for Prosody Labeling and Speech Recognition
Automatic speech recognition (ASR) systems rely almost exclusively on short-term segment-level features (MFCCs), while ignoring higher level suprasegmental cues that are characteristic of human speech. However, recent experiments have shown that categorical representations of prosody, such as those...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2745178/ https://ncbi.nlm.nih.gov/pubmed/19763253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TASL.2008.2005347 |
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