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Design of loss functions and feature transformation for minimum classification error based automatic speech recognition

机译：基于最小分类误差的自动语音识别损失函数设计和特征变换

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作者
Ratnagiri, Madhavi Vedula;
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作者单位

Rutgers The State University of New Jersey - New Brunswick;

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授予单位 Rutgers The State University of New Jersey - New Brunswick;
学科
学位 Ph.D.
年度 2011
页码 109 p.
总页数 109
原文格式 PDF
正文语种 eng
中图分类
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专利

1. Optimized discriminative transformations for speech features based on minimum classification error [J] . Behzad Zamani, Ahmad Akbari, Babak Nasersharif, Pattern recognition letters . 2011,第7期

机译：基于最小分类误差的语音特征优化判别转换
2. Maximum likelihood and minimum classification error factor analysis for automatic speech recognition [J] . Saul L.K., Rahim M.G. IEEE Transactions on Speech and Audio Proceeding . 2000,第2期

机译：自动语音识别的最大似然和最小分类误差因子分析
3. Maximum likelihood and minimum classification error factor analysisfor automatic speech recognition [J] . Saul L.K., Rahim M.G. IEEE Transactions on Speech and Audio Proceessing . 2000,第2期

机译：自动语音识别的最大似然和最小分类误差因子分析
4. Discriminative transformations of speech features based on minimum classification error [C] . Zamani Behzad, Akbari Ahmad, Nasersharif Babak, 2011 19th Iranian Conference on Electrical Engineering . 2011

机译：基于最小分类误差的语音特征判别变换
5. Linear transformations of features for automatic speech recognition [D] . Hwang, Andrew I. 2011

机译：用于自动语音识别的特征的线性变换
6. Predicting Speech Perception in Older Listeners with Sensorineural Hearing Loss Using Automatic Speech Recognition [O] . Lionel Fontan, Tom Cretin-Maitenaz, Christian Füllgrabe 2020

机译：使用自动语音识别预测具有传感器听力损失的较旧听众的言语感知
7. MINIMUM CLASSIFICATION ERROR TRANSFORMATIONS FOR IMPROVING SPEECH RECOGNITION SYSTEMS [O] . de la Torre A., Peinado A.M., Rubio A.J., 1996

机译：改善语音识别系统的最小分类误差转换

Design of loss functions and feature transformation for minimum classification error based automatic speech recognition

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