Timestamp-aligning and keyword-biasing end-to-end ASR front-end for a KWS system
Abstract Many end-to-end approaches have been proposed to detect predefined keywords. For scenarios of multi-keywords, there are still two bottlenecks that need to be resolved: (1) the distribution of important data that contains keyword(s) is sparse, and (2) the timestamps of the detected keywords...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SpringerOpen
2021-07-01
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| Edice: | EURASIP Journal on Audio, Speech, and Music Processing |
| Témata: | |
| On-line přístup: | https://doi.org/10.1186/s13636-021-00212-9 |
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