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» Analysis-by-synthesis features for speech recognition
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ICMCS
2009
IEEE
144views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Speech control in surgery: A field analysis and strategies
This work introduces a robot driven camera controlled by speech. The SIMIS database of 20 recordings of real life surgical operations serves as basis for analyses and noise modell...
Björn Schuller, Salman Can, Hubertus Feussner...
ICASSP
2011
IEEE
13 years 1 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
ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Speaker Independent Speech Emotion Recognition by Ensemble Classification
Emotion recognition grows to an important factor in future media retrieval and man machine interfaces. However, even human deciders often experience problems realizing one’s emo...
Björn Schuller, Stephan Reiter, Ronald Mü...
ICASSP
2011
IEEE
13 years 1 months ago
Discriminative duration modeling for speech recognition with segmental conditional random fields
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...
Justine T. Kao, Geoffrey Zweig, Patrick Nguyen
ICASSP
2008
IEEE
14 years 4 months ago
Corrected tandem features for acoustic model training
This paper describes a simple method for significantly improving Tandem features used to train acoustic models for large-vocabulary speech recognition. The linear activations at ...
Arlo Faria, Nelson Morgan