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» Articulatory features for robust visual speech recognition
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ICIP
2000
IEEE
14 years 9 months ago
LIP Contour Extraction Using a Deformable Model
The use of visual information from lip movements can improve the accuracy and robustness of a speech recognition system. Accurate extraction of visual features associated with the...
Alan Wee-Chung Liew, Shu Hung Leung, Wing Hong Lau
ICASSP
2011
IEEE
12 years 11 months ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...
ACIVS
2009
Springer
14 years 2 months ago
Two-Level Bimodal Association for Audio-Visual Speech Recognition
This paper proposes a new method for bimodal information fusion in audio-visual speech recognition, where cross-modal association is considered in two levels. First, the acoustic a...
Jong-Seok Lee, Touradj Ebrahimi
ICASSP
2011
IEEE
12 years 11 months ago
Using multiple visual tandem streams in audio-visual speech recognition
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
Ibrahim Saygin Topkaya, Hakan Erdogan
ICASSP
2009
IEEE
14 years 2 months ago
Affine invariant features and their application to speech recognition
This paper proposes a set of affine invariant features (AIFs) for sequence data. The proposed AIFs can be calculated directly from the sequence data, and their invariance to af...
Yu Qiao, Masayuki Suzuki, Nobuaki Minematsu