261 citations · 682 across the 43 of their papers we have counts for
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End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
The speech chain mechanism integrates automatic speech recognition (ASR) and text-to-speech synthesis (TTS) modules into a single cycle during training. In our previous work, we ap…
Multi-scale Alignment and Contextual History for Attention Mechanism in Sequence-to-sequence Model
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
A sequence-to-sequence model is a neural network module for mapping two sequences of different lengths. The sequence-to-sequence model has three core modules: encoder, decoder, and…
Machine Speech Chain with One-shot Speaker Adaptation
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
In previous work, we developed a closed-loop speech chain model based on deep learning, in which the architecture enabled the automatic speech recognition (ASR) and text-to-speech…
Tensor Decomposition for Compressing Recurrent Neural Network
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
In the machine learning fields, Recurrent Neural Network (RNN) has become a popular architecture for sequential data modeling. However, behind the impressive performance, RNNs requ…