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» Adapting acoustic and lexical models to dysarthric speech
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104
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NAACL
2007
15 years 1 months ago
On using Articulatory Features for Discriminative Speaker Adaptation
This paper presents a way to perform speaker adaptation for automatic speech recognition using the stream weights in a multi-stream setup, which included acoustic models for “Ar...
Florian Metze
94
Voted
INTERSPEECH
2010
14 years 7 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
ICASSP
2009
IEEE
14 years 10 months ago
Unsupervised speaker adaptation for telephone call transcription
The use of the PC and Internet for placing telephone calls will present new opportunities to capture vast amounts of un-transcribed speech for a particular speaker. This paper inv...
R. Wallace, Kishan Thambiratnam, Frank Seide
TASLP
2002
124views more  TASLP 2002»
14 years 12 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
NAACL
2001
15 years 1 months ago
Generating Training Data for Medical Dictations
In automatic speech recognition (ASR) enabled applications for medical dictations, corpora of literal transcriptions of speech are critical for training both speaker independent a...
Sergey V. Pakhomov, Michael Schonwetter, Joan Bach...