DocumentCode :
3528604
Title :
The Australian English Speech Corpus for In-Car Speech processing
Author :
Kleinschmidt, Tristan ; Mason, Michael ; Wong, Eddie ; Sridharan, Sridha
Author_Institution :
Speech & Audio Res. Lab., Queensland Univ. of Technol., Brisbane, QLD
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
4177
Lastpage :
4180
Abstract :
The Australian in-car speech corpus is a multi-channel recording of a series of prompts from an in-car navigation task collected over a range of speakers in a variety of driving conditions. Its purpose is to provide a significant resource of speech data appropriate for investigating speech processing needs in the adverse environment of a car. Utterances spoken by 50 speakers were collected in seven different driving conditions, providing the foundation for investigation into noisy, speaker-independent speech processing. Speech recognition experiments are performed to validate the data, to provide baseline results for in-car speech recognition research, and to show that this data can improve speech recognition performance under adverse in-car conditions for Australian English when adapting from American English acoustic models.
Keywords :
driver information systems; natural language processing; speaker recognition; speech processing; American English acoustic models; Australian in-car english speech corpus; in-car navigation task; in-car speech processing; speaker-independent speech processing; speech recognition experiments; Australia; Automotive engineering; Databases; Microphones; Navigation; Road safety; Speech enhancement; Speech processing; Speech recognition; Working environment noise; Multimedia databases; road vehicles; speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960549
Filename :
4960549
Link To Document :
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