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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Acoustic model training for non-audible murmur recognition using transformed normal speech data
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Denis Babani, Tomoki Toda, Hiroshi Saruwatari, Kiy...
NOLISP
2007
Springer
14 years 1 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
ICASSP
2008
IEEE
14 years 2 months ago
Multi-stream parameterization for structural speech recognition
Recently, a novel and structural representation of speech was proposed [1, 2], where the inevitable acoustic variations caused by nonlinguistic factors are effectively removed fro...
Satoshi Asakawa, Nobuaki Minematsu, Keikichi Hiros...
ICASSP
2011
IEEE
12 years 11 months ago
Machine and acoustical condition dependency analyses for fast acoustic likelihood calculation techniques
The acceleration of acoustic likelihood calculation has been an important research issue for developing practical speech recognition systems. And there are various specification ...
Atsunori Ogawa, Satoshi Takahashi, Atsushi Nakamur...
ICASSP
2010
IEEE
13 years 7 months ago
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech
There has been increasing interest recently in meeting understanding, such as summarization, browsing, action item detection, and topic segmentation. However, there is very limite...
Yang Liu, Shasha Xie, Fei Liu