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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Tong Niu, Yaqi Chen, Dan Qu, Hengbo Hu, ChengRan Liu
Format: Artigo
Sprache:Inglês
Veröffentlicht: SpringerOpen 2025-04-01
Schriftenreihe:EURASIP Journal on Audio, Speech, and Music Processing
Schlagworte:
Far-field speech recognition
Prefix tuning
Adversarial training
Whisper
Online-Zugang:https://doi.org/10.1186/s13636-025-00406-5
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