Parameter-efficient adaptation with multi-channel adversarial training for far-field speech recognition
Abstract Despite notable advancements in automatic speech recognition (ASR) technologies, issues such as background noise, reverberation, and speaker distance still degrade the performance of far-field speech recognition (FSR). Although large-scale pre-trained models have shown promise, their adapta...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | EURASIP Journal on Audio, Speech, and Music Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13636-025-00406-5 |
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