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» Universal background model based speech recognition
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ICASSP
2008
IEEE
15 years 4 months ago
Impact of automatic sentence segmentation on meeting summarization
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Yang Liu, Shasha Xie
ICMCS
2009
IEEE
159views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Acoustic modeling using an extended phone set considering cross-lingual pronunciation variations
To deal with the issue of data unbalanced condition among a task of multilingual speech recognition and a phenomenon of pronunciation variations across languages, we propose an ap...
Dau-Cheng Lyu, Ren-Yuan Lyu, Ming-Tat Ko
TIP
2008
287views more  TIP 2008»
14 years 9 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
ICASSP
2011
IEEE
14 years 1 months ago
Training of error-corrective model for ASR without using audio data
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
ICMI
2009
Springer
129views Biometrics» more  ICMI 2009»
15 years 2 months ago
Cache-based language model adaptation using visual attention for ASR in meeting scenarios
In a typical group meeting involving discussion and collaboration, people look at one another, at shared information resources such as presentation material, and also at nothing i...
Neil Cooke, Martin J. Russell