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» Signal Processing for Robust Speech Recognition
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ICASSP
2009
IEEE
16 years 22 days ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo
ICASSP
2011
IEEE
14 years 9 months ago
Compensation of partly reliable components for band-limited speech recognition with missing data techniques
Mismatch in speech bandwidth between training and real operation greatly degrades the performance of automatic speech recognition (ASR) systems. Missing feature technique (MFT) is...
Yongjun He, Jiqing Han, Tieran Zheng, Guibin Zheng
ICASSP
2008
IEEE
16 years 13 days ago
Multimodal information fusion using the iterative decoding algorithm and its application to audio-visual speech recognition
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
ICASSP
2011
IEEE
14 years 9 months ago
Rapid phonetic transcription using everyday life natural Chat Alphabet orthography for dialectal Arabic speech recognition
We propose the Arabic Chat Alphabet (ACA) as naturally written in everyday life for dialectal Arabic speech transcription. Our assumption is that ACA is a natural language that in...
Mohamed Elmahdy, Rainer Gruhn, Slim Abdennadher, W...
ICMI
2005
Springer
136views Biometrics» more  ICMI 2005»
15 years 11 months ago
Probabilistic grounding of situated speech using plan recognition and reference resolution
Situated, spontaneous speech may be ambiguous along acoustic, lexical, grammatical and semantic dimensions. To understand such a seemingly difficult signal, we propose to model th...
Peter Gorniak, Deb Roy