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(9) [CS15] Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
時間 2020-01-31
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cs15
fast
accurate
recurrent
neural
network
acoustic
models
speech
recognition
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計劃完成深度學習入門的126篇論文第九篇,Google的Has¸im Sak使用RNN用在Acoustic Models for Speech Recognition方向上的論文。 ABSTRACT&INTRODUCTION 摘要 最近咱們發現,做爲語音識別的聲學模型,深度長短時間記憶(LSTM)遞歸神經網絡(RNNs)優於前饋深度神經網絡(DNNs)。近年來,咱們發現使用這種LSTM神經網絡的序
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相關文章
1.
Interspeech 2017 Series | Acoustic Model for Speech Recognition Technology
2.
(zhuan) Recurrent Neural Network
3.
(7) [IEEEAcoustic13] SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS
4.
文章:Emotion Recognition From Speech With Recurrent Neural Networks
5.
(6) [IEEESignal12] Deep neural networks for acoustic modeling in speech recognition
6.
Convolutional Neural Networks for Speech Recognition///2014
7.
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based
8.
Semantic Flow for Fast and Accurate Scene Parsing
9.
Interspeech 2017 | Far-field Speech Recognition Technology
10.
Sequence Models(Week1)編程-----Building your Recurrent Neural Network
>>更多相關文章<<