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Multi-resolution speech analysis for automatic speech recognition using deep neural networks: Experiments on TIMIT
Speech Analysis for Automatic Speech Recognition (ASR) systems typically starts with a Short-Time Fourier Transform (STFT) that implies selecting a fixed point in the time-frequency resolution trade-off. This approach, combined with a Mel-frequency scaled filterbank and a Discrete Cosine Transform g...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6179252/ https://www.ncbi.nlm.nih.gov/pubmed/30304055 http://dx.doi.org/10.1371/journal.pone.0205355 |