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Acoustic model
An acoustic model is used in Automatic Speech Recognition to represent the relationship between an audio signal and the phonemes or other linguistic…
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Related topics
Related topics
13 relations
Codec
Convolutional neural network
Deep learning
Encoder
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Broader (2)
Computational linguistics
Speech recognition
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Unsupervised acoustic and language model training with small amounts of labelled data
Scott Novotney
,
R. Schwartz
,
Jeff Z. Ma
IEEE International Conference on Acoustics…
2009
Corpus ID: 2695557
We measure the effects of a weak language model, estimated from as little as 100k words of text, on unsupervised acoustic model…
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2008
2008
A Nonlinear Acoustic Echo Canceller Using Sigmoid Transform in Conjunction With RLS Algorithm
Jingzhi Fu
,
Weiping Zhu
IEEE Transactions on Circuits and Systems - II…
2008
Corpus ID: 6303463
Nonlinearity of amplifiers and/or loudspeakers gives rise to nonlinear echo in acoustic systems, which seriously degrades the…
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Highly Cited
2006
Highly Cited
2006
Integration of articulatory and spectrum features based on the hybrid HMM/BN modeling framework
K. Markov
,
J. Dang
,
Satoshi Nakamura
Speech Communication
2006
Corpus ID: 16839047
Highly Cited
2005
Highly Cited
2005
The Acoustic Showerglass. I. Seismic Diagnostics of Photospheric Magnetic Fields
C. Lindsey
,
D. Braun
2005
Corpus ID: 13880849
A problem of major interest in the helioseismology of active regions is the acoustics of magnetic photospheres and shallow…
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Highly Cited
2004
Highly Cited
2004
Recent progress of open-source LVCSR engine julius and Japanese model repository
Tatsuya Kawahara
,
Akinobu Lee
,
K. Takeda
,
K. Itou
,
K. Shikano
Interspeech
2004
Corpus ID: 5921351
ICSLP2004: the 8th International Conference on Spoken Language Processing, October 4-8, 2004, Jeju Island, Korea.
Highly Cited
1999
Highly Cited
1999
Automatic generation of multiple pronunciations based on neural networks
Toshiaki Fukada
,
Takayoshi Yoshimura
,
Y. Sagisaka
Speech Communication
1999
Corpus ID: 18863705
Highly Cited
1989
Highly Cited
1989
The MIT SUMMIT Speech Recognition System: A Progress Report
V. Zue
,
James R. Glass
,
M. Phillips
,
S. Seneff
Human Language Technology - The Baltic Perspectiv
1989
Corpus ID: 3538583
Recently, we initiated a project to develop a phonetically-based spoken language understanding system called SUMMIT. In contrast…
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Review
1979
Review
1979
Acoustic microscopy—1979
L. W. Kessler
,
D. Yuhas
Proceedings of the IEEE
1979
Corpus ID: 30304663
Acoustic microscopy is emerging as an important analytical technique serving the needs of both biomedical and materials…
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Highly Cited
1978
Highly Cited
1978
Interspecific and intraspecific responses to synthesized pygmy marmoset vocalizations
C. Snowdon
,
Yvonne V. Pola
Animal Behaviour
1978
Corpus ID: 53206425
Highly Cited
1974
Highly Cited
1974
Structure and function of acoustic neurons in the thoracic ventral nerve cord ofLocusta migratoria (Acrididae)
H. Rehbein
,
K. Kalmring
,
H. Römer
Journal of Comparative Physiology
1974
Corpus ID: 43003860
Summary1.Individual acoustic neurons were investigated by a combined recording and staining technique (CoS). Recordings were done…
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