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Error back propagation for sequence training of context-dependent deep networks for conversational speech transcription

机译：用于对话语音转录的依赖于上下文的深度网络的序列训练的误差反向传播

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Hang Su; Gang Li; Dong Yu; Frank Seide;
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1. Regression-Based Context-Dependent Modeling of Deep Neural Networks for Speech Recognition [J] . WANG G., Sim K.C. Audio, Speech, and Language Processing, IEEE Transactions on . 2014,第11期

机译：用于语音识别的基于回归的上下文依赖的深度神经网络建模
2. Translating math formula images to LaTeX sequences using deep neural networks with sequence-level training [J] . Wang Zelun, Liu Jyh-Charn International Journal on Document Analysis and Recognition . 2021,第1a2期

机译：使用具有序列级培训的深神经网络将数学公式图像转换为乳胶序列
3. An analysis of training and generalization errors in shallow and deep networks [J] . Mhaskar H. N., Poggio T. Neural Networks: The Official Journal of the International Neural Network Society . 2020,第期

机译：浅层和深网络培训和泛化误差分析
4. Error back propagation for sequence training of Context-Dependent Deep NetworkS for conversational speech transcription [C] . Su Hang, Li Gang, Yu Dong, IEEE International Conference on Acoustics, Speech and Signal Processing . 2013

机译：错误反向传播，用于对话语音转录的上下文相关深度网络的序列训练
5. Acoustic properties of repair sequences in dysarthric conversational speech: An interactional phonetic study. [D] . Rutter, Benjamin. 2008

机译：dysarthric对话语音中修复序列的声学特性：一项互动语音研究。
6. Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features bypassing the phoneme as recognition unit [O] . Denis Arnold, Fabian Tomaschek, Konstantin Sering, -1

机译：通过错误驱动的学习算法可以区分自发会话语音中的单词其准确性与人类类似可以从智能声学特征中区分出含义而绕过音素作为识别单元
7. Feature engineering in context-dependent deep neural networks for conversational speech transcription [O] . Frank Seide, Xie Chen, Dong Yu 2011

机译：用于对话语音转录的依赖于上下文的深度神经网络中的特征工程

Error back propagation for sequence training of context-dependent deep networks for conversational speech transcription

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