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Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition

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

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

Autor: Tan, Sharman, Behre, Piyush, Kibre, Nick, Alphonso, Issac, Chang, Shuangyu

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

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Akademický článek

Study on Factors Affecting Estrus Synchronization in Smallholder Dairy Farming Systems of Tigray, Northern Ethiopia

Autor: Dagmawit Kibre, Gebregiorgis Ashebir, Berihu Gebrekidan, Haben Fesseha

Publikováno v: Veterinary Medicine International, Vol 2022 (2022)

Background. Reproductive biotechnology, such as estrus synchronization, can quickly boost the genetics of local cattle breeds, shorten generational cycles, and spread genetic material within populations of breeding animals. Methods. A cross-sectional

Externí odkaz: https://doaj.org/article/1c2dcdf47cc1430da50b234fe551327b