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» Articulatory features for robust visual speech recognition
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ICDE
2007
IEEE
198views Database» more  ICDE 2007»
14 years 2 days ago
A Novel Visual Feature Extraction and Its Application in Vowel Recognition
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Empl...
Vahideh Sadat Sadeghi, Khashayar Yaghmaie
NAACL
1994
13 years 7 months ago
Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
Leonardo Neumeyer, Mitch Weintraub
ICMCS
2006
IEEE
140views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Evolutionary Feature Generation in Speech Emotion Recognition
Feature sets are broadly discussed within speech emotion recognition by acoustic analysis. While popular filter and wrapper based search help to retrieve relevant ones, we feel th...
Björn Schuller, Stephan Reiter, Gerhard Rigol...
LREC
2010
256views Education» more  LREC 2010»
13 years 7 months ago
WAPUSK20 - A Database for Robust Audiovisual Speech Recognition
Audiovisual speech recognition (AVSR) systems have been proven superior over audio-only speech recognizers in noisy environments by incorporating features of the visual modality. ...
Alexander Vorwerk, Xiaohui Wang, Dorothea Kolossa,...
SPEECH
2008
142views more  SPEECH 2008»
13 years 5 months ago
Combined speech enhancement and auditory modelling for robust distributed speech recognition
The performance of automatic speech recognition (ASR) systems in the presence of noise is an area that has attracted a lot of research interest. Additive noise from interfering no...
Ronan Flynn, Edward Jones