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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...
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| Yayımlandı: | PLoS One |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6179252/ https://ncbi.nlm.nih.gov/pubmed/30304055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0205355 |
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