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EMNLP
2006
13 years 9 months ago
Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
We investigate whether one can determine from the transcripts of U.S. Congressional floor debates whether the speeches represent support of or opposition to proposed legislation. ...
Matt Thomas, Bo Pang, Lillian Lee
INTERSPEECH
2010
13 years 2 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...
ICMCS
2008
IEEE
151views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Fast keyword detection with sparse time-frequency models
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
Effrosini Kokiopoulou, Pascal Frossard, Olivier Ve...
ICASSP
2010
IEEE
13 years 8 months ago
Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output
Semantic role labeling (SRL) is an important module of spoken language understanding systems. This work extends the standard evaluation metrics for joint dependency parsing and SR...
Benoît Favre, Bernd Bohnet, Dilek Hakkani-T&...
IJCNN
2000
IEEE
13 years 11 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo