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Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation
Mapping Intimacies
◽
10.21437/interspeech.2019-2182
◽
2019
◽
Cited By ~ 3
Author(s):
Haisong Ding
◽
Kai Chen
◽
Qiang Huo
Keyword(s):
Acoustic Models
Download Full-text
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Keyword(s):
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Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models
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Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering
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Domain Adaptation
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Limited Resource
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Ensembles of Multi-Scale VGG Acoustic Models
10.21437/interspeech.2017-920
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Improving DNN Bluetooth Narrowband Acoustic Models by Cross-Bandwidth and Cross-Lingual Initialization
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CTC Training of Multi-Phone Acoustic Models for Speech Recognition
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An Investigation of Mixup Training Strategies for Acoustic Models in ASR
10.21437/interspeech.2018-2191
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2018
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Yuri Khokhlov
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Dmitry Popov
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Prosody Study with Context-Dependent Acoustic Models
2008 6th International Symposium on Chinese Spoken Language Processing
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10.1109/chinsl.2008.ecp.26
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2008
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Author(s):
Yue-Ning Hu
◽
Min Chu
Keyword(s):
Acoustic Models
◽
Context Dependent
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