Reverb and Noise as Real-World Effects in Speech Recognition Models: A Study and a Proposal of a Feature Set
Reverberation and background noise are common and unavoidable real-world phenomena that hinder automatic speaker recognition systems, particularly because these systems are typically trained on noise-free data. Most models rely on fixed audio feature sets. To evaluate the dependency of features on r...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2024-12-01
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| Schriftenreihe: | Applied Sciences |
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| Online-Zugang: | https://www.mdpi.com/2076-3417/14/23/11446 |
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