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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Detalles Bibliográficos
Autores principales: Toledano, Doroteo T., Fernández-Gallego, María Pilar, Lozano-Diez, Alicia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
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

Internet

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

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