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» Canonical state models for automatic speech recognition
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INTERSPEECH
2010
14 years 4 months ago
Augmentation of adaptation data
Linear regression based speaker adaptation approaches can improve Automatic Speech Recognition (ASR) accuracy significantly for a target speaker. However, when the available adapt...
Ravichander Vipperla, Steve Renals, Joe Frankel
AAMAS
2010
Springer
14 years 9 months ago
Teaching a pet-robot to understand user feedback through interactive virtual training tasks
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Anja Austermann, Seiji Yamada
LREC
2010
163views Education» more  LREC 2010»
14 years 11 months ago
LIPS: A Tool for Predicting the Lexical Isolation Point of a Word
We present LIPS (Lexical Isolation Point Software), a tool for accurate lexical isolation point (IP) prediction in recordings of speech. The IP is the point in time in which a wor...
Andrew Thwaites, Jeroen Geertzen, William D. Marsl...
LREC
2008
120views Education» more  LREC 2008»
14 years 11 months ago
The U.S. Policy Agenda Legislation Corpus Volume 1 - a Language Resource from 1947 - 1998
We introduce the corpus of United States Congressional bills from 1947 to 1998 for use by language research communities. The U.S. Policy Agenda Legislation Corpus Volume 1 (USPALC...
Stephen Purpura, John Wilkerson, Dustin Hillard
MM
2009
ACM
125views Multimedia» more  MM 2009»
15 years 4 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben