Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection-Reference-Cited by-同舟云学术

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Unconstrained Dysfluency Modeling for Dysfluent Speech Transcription and Detection

Published:2023-12-16 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Author:

Lian Jiachen¹,Feng Carly²,Farooqi Naasir¹,Li Steve,Kashyap Anshul¹,Cho Cheol Jun¹,Wu Peter¹,Netzorg Robbie¹,Li Tingle¹,Anumanchipalli Gopala Krishna¹

Affiliation:

1. UC Berkeley

2. Harvard University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389771.pdf?arnumber=10389771

Reference38 articles.

1. Speech and language therapy for aphasia following stroke

2. Dyslexia, speech and language: a practitioner’s handbook;Snowling;John Wiley & Sons,2013

3. Pattern search in dysfluent speech

4. The Buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability

5. Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling

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