A novel architecture called attention-based LSTM is proposed, which employs context-dependent scores or context- dependent weights to encode temporal future ...
Sep 8, 2016 · Recently, very deep residual time-delay neural networks [8,9,10] have been proposed for speech recognition. Compared to conventional shallow ...
Jian Tang, Shiliang Zhang, Si Wei, Li-Rong Dai - ISCA Archive
www.isca-archive.org › interspeech_2016
In this paper, we propose a novel architecture called attention-based LSTM, which employs context-dependent scores or context-dependent weights to encode ...
LSTM is a LSTM (forward unidirectional) with attention mechanism combined into one or more hidden layers. For instance, Figure 2 shows this architecture ...
Mar 17, 2020 · In this paper, we detail our recent efforts to improve conventional hy- brid LSTM acoustic models for high-accuracy and low-latency au- tomatic ...
In this paper, four different neural network architectures from the literature are used as baseline models, respectively based on a BLSTM, LSTM, TDNN-LSTM, and ...
In this paper we propose the use of temporal convolution, in the form of time-delay neural network (TDNN) layers, along with unidirectional LSTM layers to limit ...
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Jul 30, 2020 · We propose a multi-layer context modeling scheme to explore future context with significant gains; 2) The cross entropy (CE) initialization is ...
Dynamic music emotion prediction is to recognize the continuous emotion information in music, which is necessary for music retrieval and recommendation.