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Intensive acoustic models constructed by integrating low-occurrence models for spoken term detection
Mapping Intimacies
◽
10.21437/interspeech.2013-6
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2013
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Author(s):
Shiro Narumi
◽
Kazuma Konno
◽
Takuya Nakano
◽
Yoshiaki Itoh
◽
Kazunori Kojima
◽
...
Keyword(s):
Spoken Term Detection
◽
Acoustic Models
Download Full-text
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Improved spoken term detection by discriminative training of acoustic models based on user relevance feedback
10.21437/interspeech.2010-400
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2010
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Author(s):
Hung-yi Lee
◽
Chia-ping Chen
◽
Ching-feng Yeh
◽
Lin-shan Lee
Keyword(s):
Relevance Feedback
◽
Discriminative Training
◽
Spoken Term Detection
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Spoken Term Detection Based on Acoustic Models Trained in Multiple Languages for Zero-Resource Language
2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)
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10.1109/gcce50665.2020.9291761
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2020
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Author(s):
Satoru Mizuochi
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Yuya Chiba
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Takashi Nose
◽
Akinori Ito
Keyword(s):
Spoken Term Detection
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Acoustic Models
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Multiple Languages
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How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models
10.21437/interspeech.2016-283
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2016
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Cited By ~ 1
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Steven Wegmann
Keyword(s):
Neural Network
◽
Conditional Independence
◽
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Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models
10.21437/interspeech.2018-1371
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2018
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Cited By ~ 2
Author(s):
Yuan Gong
◽
Christian Poellabauer
Keyword(s):
Acoustic Models
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Deep Cnn
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Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering
10.21437/interspeech.2016-988
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2016
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Cited By ~ 5
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◽
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◽
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Keyword(s):
Supervised Learning
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Acoustic Models
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Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings
10.21437/interspeech.2016-1161
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2016
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Cited By ~ 5
Author(s):
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◽
Ryuki Tachibana
◽
Samuel Thomas
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Bhuvana Ramabhadran
◽
George Saon
Keyword(s):
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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2017
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Author(s):
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Masayuki Suzuki
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Gakuto Kurata
◽
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Keyword(s):
Acoustic Models
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Improving DNN Bluetooth Narrowband Acoustic Models by Cross-Bandwidth and Cross-Lingual Initialization
10.21437/interspeech.2017-1129
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2017
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Author(s):
Xiaodan Zhuang
◽
Arnab Ghoshal
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Antti-Veikko Rosti
◽
Matthias Paulik
◽
Daben Liu
Keyword(s):
Acoustic Models
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Cross Lingual
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Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages
10.21437/interspeech.2016-1426
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2016
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Author(s):
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Stavros Tsakalidis
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Richard Schwartz
Keyword(s):
Neural Network
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Acoustic Models
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CTC Training of Multi-Phone Acoustic Models for Speech Recognition
10.21437/interspeech.2017-505
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2017
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Cited By ~ 3
Author(s):
Olivier Siohan
Keyword(s):
Speech Recognition
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Acoustic Models
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