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» Canonical state models for automatic speech recognition
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MIR
2003
ACM
161views Multimedia» more  MIR 2003»
15 years 3 months ago
Highlight scene extraction in real time from baseball live video
This paper proposes a method to automatically extract highlight scenes from sports (baseball) live video in real time and to allow users to retrieve them. For this purpose, sophis...
Yasuo Ariki, Masahito Kumano, Kiyoshi Tsukada
ICASSP
2008
IEEE
15 years 4 months ago
Frame-based acoustic feature integration for speech understanding
With the purpose of improving Spoken Language Understanding (SLU) performance, a combination of different acoustic speech recognition (ASR) systems is proposed. State a-posteriori...
Loic Barrault, Christophe Servan, Driss Matrouf, G...
ICASSP
2011
IEEE
14 years 1 months ago
An iterative least-squares technique for dereverberation
Some recent dereverberation approaches that have been effective for automatic speech recognition (ASR) applications, model reverberation as a linear convolution operation in the s...
Kshitiz Kumar, Bhiksha Raj, Rita Singh, Richard M....
ICASSP
2009
IEEE
15 years 4 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
ICASSP
2011
IEEE
14 years 1 months ago
Generating compound words with high order n-gram information in large vocabulary speech recognition systems
In this work we concentrate on generating compound words with high order n-gram information for speech recognition. In most existing compound words generation methods, only bi-gra...
Jie Zhou, Qin Shi, Yong Qin