A deep learning approach to dysarthric utterance classification with BiLSTM-GRU, speech cue filtering, and log mel spectrograms
In: The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, Jg. 80 (2024-07-01), Heft 10, S. 14520-14547
Online
academicJournal
Zugriff:
Titel: |
A deep learning approach to dysarthric utterance classification with BiLSTM-GRU, speech cue filtering, and log mel spectrograms
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Autor/in / Beteiligte Person: | Mehra, Sunakshi ; Ranga, Virender ; Agarwal, Ritu |
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Zeitschrift: | The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, Jg. 80 (2024-07-01), Heft 10, S. 14520-14547 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0920-8542 (print) ; 1573-0484 (print) |
DOI: | 10.1007/s11227-024-06015-x |
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