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State Sequence Pooling Training of Acoustic Models for Keyword Spotting
Mapping Intimacies
◽
10.21437/interspeech.2020-2722
◽
2020
◽
Author(s):
Kuba Łopatka
◽
Tobias Bocklet
Keyword(s):
Keyword Spotting
◽
Acoustic Models
◽
State Sequence
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References
A System Combination Based Keyword-spotting Method Using Complementary Acoustic Models
ACTA AUTOMATICA SINICA
◽
10.3724/sp.j.1004.2009.00039
◽
2009
◽
Vol 35
(1)
◽
pp. 39-45
◽
Cited By ~ 2
Author(s):
Meng MENG
◽
Xiao-Rui WANG
◽
Jia-En LIANG
◽
Bo XU
Keyword(s):
Keyword Spotting
◽
System Combination
◽
Acoustic Models
Download Full-text
Language independent and unsupervised acoustic models for speech recognition and keyword spotting
10.21437/interspeech.2014-4
◽
2014
◽
Author(s):
Kate M. Knill
◽
Mark J. F. Gales
◽
Anton Ragni
◽
Shakti P. Rath
Keyword(s):
Speech Recognition
◽
Keyword Spotting
◽
Acoustic Models
Download Full-text
Rapid speech keyword spotting method based on template matching
Journal of Computer Applications
◽
10.3724/sp.j.1087.2013.03138
◽
2013
◽
Vol 33
(11)
◽
pp. 3138-3140
Author(s):
Guoteng ZHU
◽
Wei SUN
Keyword(s):
Template Matching
◽
Keyword Spotting
Download Full-text
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models
10.21437/interspeech.2016-283
◽
2016
◽
Cited By ~ 1
Author(s):
Suman Ravuri
◽
Steven Wegmann
Keyword(s):
Neural Network
◽
Conditional Independence
◽
Acoustic Models
◽
Independence Assumptions
Download Full-text
Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models
10.21437/interspeech.2018-1371
◽
2018
◽
Cited By ~ 2
Author(s):
Yuan Gong
◽
Christian Poellabauer
Keyword(s):
Acoustic Models
◽
Deep Cnn
◽
End To End
Download Full-text
Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering
10.21437/interspeech.2016-988
◽
2016
◽
Cited By ~ 5
Author(s):
Michael Heck
◽
Sakriani Sakti
◽
Satoshi Nakamura
Keyword(s):
Supervised Learning
◽
Acoustic Models
◽
Resource Setting
Download Full-text
Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings
10.21437/interspeech.2016-1161
◽
2016
◽
Cited By ~ 5
Author(s):
Masayuki Suzuki
◽
Ryuki Tachibana
◽
Samuel Thomas
◽
Bhuvana Ramabhadran
◽
George Saon
Keyword(s):
Domain Adaptation
◽
Limited Resource
◽
Acoustic Models
Download Full-text
Ensembles of Multi-Scale VGG Acoustic Models
10.21437/interspeech.2017-920
◽
2017
◽
Author(s):
Michael Heck
◽
Masayuki Suzuki
◽
Takashi Fukuda
◽
Gakuto Kurata
◽
Satoshi Nakamura
Keyword(s):
Acoustic Models
◽
Multi Scale
Download Full-text
Improving DNN Bluetooth Narrowband Acoustic Models by Cross-Bandwidth and Cross-Lingual Initialization
10.21437/interspeech.2017-1129
◽
2017
◽
Cited By ~ 1
Author(s):
Xiaodan Zhuang
◽
Arnab Ghoshal
◽
Antti-Veikko Rosti
◽
Matthias Paulik
◽
Daben Liu
Keyword(s):
Acoustic Models
◽
Cross Lingual
Download Full-text
Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages
10.21437/interspeech.2016-1426
◽
2016
◽
Cited By ~ 9
Author(s):
Tanel Alumäe
◽
Stavros Tsakalidis
◽
Richard Schwartz
Keyword(s):
Neural Network
◽
Acoustic Models
◽
Low Resource
Download Full-text
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