BOOK-CHAPTER

Native Language Identification from English Noise Bursts by Chinese Listeners

Hongyan WangYuting XuLi‐Fen ChenVincent J. van Heuven

Year: 2019 Advances in intelligent systems and computing Pages: 454-461   Publisher: Springer Nature

Abstract

<p>Identifying speakers by their spoken output is a specialist task for forensic investigators. In the present study we focused on cross-linguistic speaker (Chinese, English, Dutch) identification based on (components of) English stops and fricatives, /p, b, t, d, k, g/ and the fricatives /f, v, θ, ð, s, z, ʃ, ʒ/. English noise bursts’ contribution to native language identification is presented and the special tokens which contribute the most were analyzed.<br /></p>

Keywords:
Identification (biology) Linguistics Task (project management) Computer science Speech recognition Noise (video) Psychology Natural language processing Artificial intelligence Engineering Philosophy

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0.53
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16
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0.63
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Citation History

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology

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