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» Automatic speech recognition system channel modeling
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IEEEMSP
2002
IEEE
117views Multimedia» more  IEEEMSP 2002»
14 years 3 months ago
Hidden Markov model for automatic transcription of MIDI signals
— This paper describes a Hidden Markov Model (HMM)-based method of automatic transcription of MIDI (Musical Instrument Digital Interface) signals of performed music. The problem ...
Haruto Takeda, Naoki Saito, Tomoshi Otsuki, Mitsur...
ICASSP
2009
IEEE
14 years 4 months ago
Training and adapting MLP features for Arabic speech recognition
Features derived from Multi-Layer Perceptrons (MLPs) are becoming increasingly popular for speech recognition. This paper describes various schemes for applying these features to ...
J. Park, Frank Diehl, M. J. F. Gales, Marcus Tomal...
ICASSP
2011
IEEE
13 years 1 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...
COLING
2008
13 years 11 months ago
Multilingual Mobile-Phone Translation Services for World Travelers
This demonstration introduces two new multilingual translation services for mobile phones. The first translation service provides state-of-the-art text-to-text translations of Jap...
Michael Paul, Hideo Okuma, Hirofumi Yamamoto, Eiic...
ICASSP
2009
IEEE
14 years 4 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis