StutterZero and StutterFormer: End-to-End Speech Conversion for Stuttering Transcription and Correction

Over 70 million people worldwide experience stuttering, yet most automatic speech sys- tems misinterpret disfluent utterances or fail to transcribe them accurately. Existing methods for stutter correction rely on handcrafted feature extraction or multi-stage automatic speech recognition (ASR) and te...

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Opis bibliograficzny

1. autor:	Qianheng Xu
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2025-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Automatic speech recognition deep learning human-computer interaction speech correction speech processing stuttering
Dostęp online:	https://ieeexplore.ieee.org/document/11288978/
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