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ICASSP
2008
IEEE
14 years 2 months ago
Maximum entropy models for speech confidence estimation
In this work we implement a confidence estimation system based on a Naive Bayes classifier, by using the maximum entropy paradigm. The model takes information from various sourc...
Claudio Estienne, Alberto Sanchís, Alfons J...
NAACL
2010
13 years 6 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
INTERSPEECH
2010
13 years 3 months ago
VAD-measure-embedded decoder with online model adaptation
We previously proposed a decoding method for automatic speech recognition utilizing hypothesis scores weighted by voice activity detection (VAD)-measures. This method uses two Gau...
Tasuku Oonishi, Koji Iwano, Sadaoki Furui
ICMCS
2005
IEEE
88views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Spoken document summarization using acoustic, prosodic and semantic information
This paper presents a spoken document summarization scheme using acoustic, prosodic and semantic information. First, speech recognition confidence is estimated to choose reliable ...
Chien-Lin Huang, Chia-Hsin Hsieh, Chung-Hsien Wu
ICASSP
2010
IEEE
13 years 8 months ago
Semantic confidence calibration for spoken dialog applications
The success of spoken dialog applications depends strongly on the quality of the semantic confidence measure that determines the selection of the dialog strategy. However, the sem...
Dong Yu, Li Deng