Four-in-One: a Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition-Reference-Cited by-同舟云学术

Four-in-One: a Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Tan Sharman¹,Behre Piyush¹,Kibre Nick¹,Alphonso Issac¹,Chang Shuangyu¹

Affiliation:

1. Microsoft Corporation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10023257.pdf?arnumber=10023257

Reference40 articles.

1. Maximum entropy model for punctuation annotation from speech

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3. Enriching speech recognition with automatic detection of sentence boundaries and disfluencies

4. Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection

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1. Multi Transcription-Style Speech Transcription Using Attention-Based Encoder-Decoder Model;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

2. Adopting Neural Translation Model in Data Generation for Inverse Text Normalization;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

3. Generative Byte-Level Models for Restoring Spaces, Punctuation, and Capitalization in Multiple Languages;Signals and Communication Technology;2023-10-04