• 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