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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
12 years 11 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
14 years 2 months 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
12 years 11 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»
14 years 1 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
ICASSP
2009
IEEE
14 years 2 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero