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Anisotropic Map Defined by Eigenvoices for Large Vocabulary Continuous Speech Recognition

机译：特征语音定义的大词汇量连续语音识别各向异性图

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Henrik Botterweck;
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年度 2007
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1. An improved two-stage mixed language model approach for handling out-of-vocabulary words in large vocabulary continuous speech recognition [J] . Bert Reveil, Kris Demuynck, Jean-Pierre Martens Computer speech and language . 2014,第1期

机译：一种改进的两阶段混合语言模型方法，用于处理大词汇量连续语音识别中的词汇外单词
2. Effect of Vocabulary Extension using Word Sequence Concatenation for Large Vocabulary Continuous Speech Recognition [J] . YOSUKE WADA, NORIHIKO KOBAYASHI, YUICHIRO NAKANO 情報処理学会論文誌 . 1999,第4期

机译：单词序列级联对词汇扩展对大词汇量连续语音识别的影响
3. Acoustic-Phonetic Approaches for Improving Segment-Based Speech Recognition for Large Vocabulary Continuous Speech [J] . Krerksak Likitsupin, Proadpran Punyabukkana, Chai Wutiwiwatchai, Engineering journal . 2016,第2期

机译：改进大词汇量连续语音基于片段的语音识别的声学方法
4. Anisotropic MAP defined by eigenvoices for large vocabulary continuous speech recognition [C] . Botterweck, H. . 2001

机译：特征语音定义的各向异性MAP用于大词汇量连续语音识别
5. An Error Detection and Correction Framework to Improve Large Vocabulary Continuous Speech Recognition [D] . Zhou, Zhengyu 2009

机译：一种提高大词汇量连续语音识别能力的错误检测与纠正框架
6. Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition [O] . Jibin Wu, Emre Yılmaz, Malu Zhang, 2020

机译：大型词汇自动语音识别深尖峰神经网络
7. Rapid Signer Adaptation for Continuous Sign Language Recognition Using a Combined Approach of Eigenvoices, MLLR, and MAP [O] . Ulrich Von Agris, Christoph Blömer, Karl-friedrich Kraiss 2012

机译：使用特征语音，MLLR和MAP的组合方法快速适应连续手语识别

Anisotropic Map Defined by Eigenvoices for Large Vocabulary Continuous Speech Recognition

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