Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kibre, Nick"'
Autor:
Gaur, Yashesh, Kibre, Nick, Xue, Jian, Shu, Kangyuan, Wang, Yuhui, Alphanso, Issac, Li, Jinyu, Gong, Yifan
Automatic Speech Recognition (ASR) systems typically yield output in lexical form. However, humans prefer a written form output. To bridge this gap, ASR systems usually employ Inverse Text Normalization (ITN). In previous works, Weighted Finite State
Externí odkaz:
http://arxiv.org/abs/2211.03721
Features such as punctuation, capitalization, and formatting of entities are important for readability, understanding, and natural language processing tasks. However, Automatic Speech Recognition (ASR) systems produce spoken-form text devoid of forma
Externí odkaz:
http://arxiv.org/abs/2210.15063
Autor:
Gaur, Yashesh, Kibre, Nick, Xue, Jian, Shu, Kangyuan, Wang, Yuhui, Alphanso, Issac, Li, Jinyu, Gong, Yifan
Publikováno v:
2022 IEEE Spoken Language Technology Workshop (SLT).
Automatic Speech Recognition (ASR) systems typically yield output in lexical form. However, humans prefer a written form output. To bridge this gap, ASR systems usually employ Inverse Text Normalization (ITN). In previous works, Weighted Finite State
Publikováno v:
2022 IEEE Spoken Language Technology Workshop (SLT).
Features such as punctuation, capitalization, and formatting of entities are important for readability, understanding, and natural language processing tasks. However, Automatic Speech Recognition (ASR) systems produce spoken-form text devoid of forma
Publikováno v:
2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 1/ 1/2012, p5141-5144, 4p