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» Canonical state models for automatic speech recognition
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EMNLP
2008
14 years 11 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu
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
IBPRIA
2007
Springer
15 years 1 months ago
A Simple But Effective Approach to Speaker Tracking in Broadcast News
The automatic transcription of broadcast news and meetings involves the segmentation, identification and tracking of speaker turns during each session, which is known as speaker di...
Luis Javier Rodríguez, Mikel Peñagar...
ACL
2010
14 years 7 months ago
Demonstration of a Prototype for a Conversational Companion for Reminiscing about Images
This paper describes an initial prototype demonstrator of a Companion, designed as a platform for novel approaches to the following: 1) The use of Information Extraction (IE) tech...
Yorick Wilks, Roberta Catizone, Alexiei Dingli, We...