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» Adapting acoustic and lexical models to dysarthric speech
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ICASSP
2011
IEEE
12 years 9 months ago
Dynamic selection of a speech enhancement method for robust speech recognition in moving motorcycle environment
We present a speech pre-processing scheme (SPPS) for robust speech recognition in the moving motorcycle environment. The SPPS is dynamically adapted during the run-time operation ...
Iosif Mporas, Todor Ganchev, Otilia Kocsis, Nikos ...
INTERSPEECH
2010
13 years 14 hour ago
Learning a language model from continuous speech
This paper presents a new approach to language model construction, learning a language model not from text, but directly from continuous speech. A phoneme lattice is created using...
Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsu...
ACL
1993
13 years 6 months ago
A Speech-First Model for Repair Detection and Correction
Interpreting fully natural speech is an important goal for spoken language understanding systems. However, while corpus studies have shown that about 10% of spontaneous utterances...
Christine H. Nakatani, Julia Hirschberg
LREC
2010
237views Education» more  LREC 2010»
13 years 6 months ago
The Alborada-I3A Corpus of Disordered Speech
This paper describes the "Alborada-I3A" corpus of disordered speech, acquired during the recent years for the research in different speech technologies for the handicapp...
Oscar Saz, Eduardo Lleida, Carlos Vaquero, William...
ICASSP
2011
IEEE
12 years 9 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang