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ACL
2010
13 years 2 months ago
A Risk Minimization Framework for Extractive Speech Summarization
In this paper, we formulate extractive summarization as a risk minimization problem and propose a unified probabilistic framework that naturally combines supervised and unsupervis...
Shih-Hsiang Lin, Berlin Chen
ICASSP
2008
IEEE
13 years 11 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
INTERSPEECH
2010
12 years 11 months ago
Improvements of search error risk minimization in viterbi beam search for speech recognition
This paper describes improvements in a search error risk minimization approach to fast beam search for speech recognition. In our previous work, we proposed this approach to reduc...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
ICASSP
2010
IEEE
12 years 11 months ago
Search error risk minimization in Viterbi beam search for speech recognition
This paper proposes a method to optimize Viterbi beam search based on search error risk minimization in large vocabulary continuous speech recognition (LVCSR). Most speech recogni...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
NAACL
2010
13 years 2 months ago
Using Confusion Networks for Speech Summarization
For extractive meeting summarization, previous studies have shown performance degradation when using speech recognition transcripts because of the relatively high speech recogniti...
Shasha Xie, Yang Liu