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05/11/2022
NDGGNET-A Node Independent Gate based Graph Neural Networks
Graph Neural Networks (GNNs) is an architecture for structural data, and...
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12/14/2020
REDAT: Accent-Invariant Representation for End-to-End ASR by Domain Adversarial Training with Relabeling
Accents mismatching is a critical problem for end-to-end ASR. This paper...
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05/14/2019
Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Non-parallel many-to-many voice conversion, as well as zero-shot voice c...
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05/14/2019
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Non-parallel many-to-many voice conversion, as well as zero-shot voice c...
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11/05/2018
When CTC Training Meets Acoustic Landmarks
Connectionist temporal classification (CTC) training criterion provides ...
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05/15/2018
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks
Furui first demonstrated that the identity of both consonant and vowel c...
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02/15/2018
Deep Learning Based Speech Beamforming
Multi-channel speech enhancement with ad-hoc sensors has been a challeng...
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02/07/2018
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition
The performance of automatic speech recognition systems degrades with in...
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10/27/2017
Acoustic Landmarks Contain More Information About the Phone String than Other Frames for Automatic Speech Recognition with Deep Neural Network Acoustic Model
Most mainstream Automatic Speech Recognition (ASR) systems consider all ...
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10/27/2017
Acoustic Landmarks Contain More Information About the Phone String than Other Frames
Most mainstream Automatic Speech Recognition (ASR) systems consider all ...
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12/03/2016
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
Natural language understanding and dialogue policy learning are both ess...
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11/10/2016
