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» Adaptive context recognition based on audio signal
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ICASSP
2011
IEEE
12 years 11 months ago
Computer-assisted transcription of speech based on confusion network reordering
Large vocabulary automatic speech recognition (ASR) technologies perform well in known and controlled contexts. In less controlled conditions, however, human review is often neces...
Antoine Laurent, Sylvain Meignier, Téva Mer...
DAS
2008
Springer
13 years 9 months ago
Writer-Dependent Recognition of Handwritten Whiteboard Notes in Smart Meeting Room Environments
In this paper we present a writer-dependent handwriting recognition system based on hidden Markov models (HMMs). This system, which has been developed in the context of research o...
Marcus Liwicki, Andreas Schlapbach, Horst Bunke
ICASSP
2007
IEEE
14 years 2 months ago
A New Robust Frequency Domain Echo Canceller with Closed-Loop Learning Rate Adaptation
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
Jean-Marc Valin, Iain B. Collings
ICPR
2008
IEEE
14 years 9 months ago
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acou...
Anupam Basu, Gaurav Garg, Pabitra Mitra, Pratyush ...
TASLP
2002
111views more  TASLP 2002»
13 years 7 months ago
Speech enhancement using a mixture-maximum model
We present a spectral domain, speech enhancement algorithm. The new algorithm is based on a mixture model for the short time spectrum of the clean speech signal, and on a maximum a...
David Burshtein, Sharon Gannot