第1层:(-2,-1,0,1,2) LSTM的延时 与TDNN类似,单向LSTM依赖于历史信息,双向LSTM(BLSTM)依赖于历史信息与未来信息 信息包括记忆(Cell)与输出(Recurrent) 默认情况下,对于长度为T帧的语句,在t时刻: LSTM依赖于 t时刻上一层的输出 BLSTM依赖于 t时刻上一层的输出 那么,在t-1时刻: LSTM依赖于 t-1时刻上一...
这是一层的tdnn+一层lstm+一层输出层的网络示意图，在t时刻拼接三帧特征后送进tdnn，之后再把tdnn的...
基于注意力机制的TDNN-LSTM模型及应用 金浩，朱文博，段志奎，陈建文，李艾园 (佛山科学技术学院，广东佛山528000)摘要：在大数据规模下，基于深度学习的语音识别技术已经相当成熟，但在小样本资源下，由于特征信息的关联性有限，模型的上下文信息建模能力不足从而导致识别率不高。针对此问题，提出了一种嵌入注意力机制层...
首先kaldi中实现lstm的第一层是W_all，在t时刻，它的输入包括上一层（tdnn）的输出x、lstm自身在(t-...
arXiv:1912.09003v1 [eess.AS] 19 Dec 2019LSTM-TDNN WITH CONVOLUTIONAL FRONT-END FOR DIALECT IDENTIFICATION INTHE 2019 MULTI-GENRE BROADCAST CHALLENGEXiaoxiao Miao 1,2,3 , Ian McLoughlin 4,11 School of Computing, The University of Kent, Medway, UK2 Key Laboratory of Speech Acoustics and ...
Bi-Lingual TDNN-LSTM Acoustic Modeling for Limited Resource Hindi and Marathi Language ASRIt is a need of time to build an automatic speech recognition (ASR) system for low-resource languages. India is a multilingual country with more than 5000 languages, and out of which 22 languages are ...
in progress. Contribute to carpedm20/lstm-char-cnn-tensorflow development by creating an account on GitHub.
Yaoming95mentioned this issueMay 2, 2018 ValueError: Dimensions must be equal, but are 1300 and 1750 for 'LSTMTDNN/LSTM/rnn/rnn/multi_rnn_cell/cell_0/cell_0/basic_lstm_cell/MatMul_1' (op: 'MatMul') with input shapes: [100,1300], [1750,2600].#26 ...
本发明公开了一种基于LSTM和TDNN的滚动轴承剩余寿命预测方法,包括步骤:(1)提取训练轴承原始振动信号的时域特征,构成时域特征集,并针对每个特征做最小最大规范化处理;(2)利用至少两种非线性函数构造健康因子,然后依次利用LSTM,TDNN构建训练特征与健康因子以及健康因子与剩余寿命百分比之间的映射关系,搭建LSTMTDNN剩余寿命...
The analysis showed that the model with TDNN and Bi-LSTM architecture with an additional Trie beam search decoder with Kneser–Ney Interpolated smoothing algorithm using 10,000-word lexicon performed better than the model without a decoder.Sai Kesav, R....