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Data-driven automated acoustic analysis of human infant vocalizations using neural network tools
Acoustic analysis of infant vocalizations has typically employed traditional acoustic measures drawn from adult speech acoustics, such as f(0), duration, formant frequencies, amplitude, and pitch perturbation. Here an alternative and complementary method is proposed in which data-derived spectrograp...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Acoustical Society of America
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2865706/ https://ncbi.nlm.nih.gov/pubmed/20370038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/1.3327460 |
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