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» The limits of speech recognition
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IROS
2007
IEEE
100views Robotics» more  IROS 2007»
14 years 3 months ago
Humanoid robot noise suppression by particle filters for improved automatic speech recognition accuracy
Automatic speech recognition on a humanoid robot is exposed to numerous known noises produced by the robot’s own motion system and background noises such as fans. Those noises i...
Florian Kraft, Matthias Wölfel
ICASSP
2011
IEEE
13 years 12 days ago
Cross-Channel Spectral Subtraction for meeting speech recognition
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...
Yu Nasu, Koichi Shinoda, Sadaoki Furui
SPEECH
1998
171views more  SPEECH 1998»
13 years 8 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
ICPPW
2006
IEEE
14 years 2 months ago
Embedded Knowledge-Based Speech Detectors for Real-Time Recognition Tasks
Speech recognition has become common in many application domains, from dictation systems for professional practices to vocal user interfaces for people with disabilities or hands-...
Sabato Marco Siniscalchi, Fulvio Gennaro, Salvator...
LREC
2008
145views Education» more  LREC 2008»
13 years 10 months ago
Borrowing Language Resources for Development of Automatic Speech Recognition for Low- and Middle-Density Languages
In this paper we describe an approach that both creates crosslingual acoustic monophone model sets for speech recognition tasks and objectively predicts their performance without ...
Lynette Melnar, Chen Liu