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Connectionist Temporal Classification下载
weixin_39821620
2019-09-23 08:30:33
Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks
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Connectionist Temporal Classification下载
Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks 相关下载链接://download.csdn.net/download/jason553553/9702505?utm_source=bbsseo
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Connection
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Temp
oral
Classification
Connection
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oral
Classification
: Labelling Unsegmented Sequence Data with Recurrent Neural Networks
Connection
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Classification
: A Tutorial with Gritty Details
教程:
Connection
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Classification
详解补充中文翻译的对应的英文原版教程,链接为:http://blog.csdn.net/w5688414/article/details/77867786,希望能帮助到大家
CTC的直观理解(
Connection
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连接时序分类),单行文本时序.htm
机器学习 深度学习 pytorch tensorflow 贝叶斯 神经网络 算法
【11】Fast and accurate recurrent neural network acoustic models
We have recently shown that deep Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) outperform feed forward deep neural networks (DNNs) as acoustic models for speech recognition. More recently, we have shown that the performance of sequence trained context dependent (CD) hidden Markov model (HMM) acoustic models using such LSTM RNNs can be equaled by sequence trained phone models initialized with
connection
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(CTC). In this paper, we present techniques that further improve performance of LSTM RNN acoustic models for large vocabulary speech recognition. We show that frame stacking and reduced frame rate lead to more accurate models and faster decoding. CD phone modeling leads to further improvements. We also present initial results for LSTM RNN models outputting words directly. Index Terms: speech recognition, acoustic modeling,
connection
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, CTC, long short-term memory recurrent neural networks, LSTM RNN.
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:连接主义时间分类算法的 Python 实现,带有帮助验证实现正确性的工具
联结主义时间分类 连接主义时间分类算法的 Python 实现,带有帮助验证实现正确性的工具。
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