相关实验视频

Updated: May 29, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

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一种基于条件随机场的方法,用于使用语言独立特征的高精度部分语音标记

Mushtaq Ali1, Muzammil Khan1, Yasser Alharbi2

  • 1Department of Computer and Software Technology, University of Swat, Swat, KP, Pakistan.

PeerJ. Computer science
|February 3, 2025
PubMed
概括

这项研究开发了一种用于乌尔都语部分语音 (POS) 标记的机器学习模型,达到96.1%的准确性. 条件随机场 (CRF) 方法有效地解决了乌尔都语的问题.

关键词:
分类 分类 分类 分类.有条件的随机字段 条件随机字段自然语言处理自然语言处理.语音的一部分.标记标记是指标记的标记乌尔都语的语料库.

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