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» Polyphase speech recognition
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157
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INTERSPEECH
2010
14 years 10 months ago
Hidden Markov models with context-sensitive observations for grapheme-to-phoneme conversion
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...
111
Voted
ICPR
2008
IEEE
16 years 4 months ago
Image-based automatic detection of indoor scene events and interactive inquiry
This paper proposes a system for an automatic detection of indoor scene events with interactive inquiry based on speech dialog and gesture recognition. he system detects the events...
Kazuhiro Maki, Nobutaka Shimada, Noriaki Katayama,...
MM
2004
ACM
174views Multimedia» more  MM 2004»
15 years 9 months ago
Speech, ink, and slides: the interaction of content channels
In this paper, we report on an empirical exploration of digital ink and speech usage in lecture presentation. We studied the video archives of five Master’s level Computer Scien...
Richard J. Anderson, Crystal Hoyer, Craig Prince, ...
120
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ECIR
2009
Springer
15 years 1 months ago
Investigating the Global Semantic Impact of Speech Recognition Error on Spoken Content Collections
Abstract. Errors in speech recognition transcripts have a negative impact on effectiveness of content-based speech retrieval and present a particular challenge for collections cont...
Martha Larson, Manos Tsagkias, Jiyin He, Maarten d...
130
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares