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A System for Information Retrieval from Large Records of Czech Spoken Data

  • Jan Nouza
  • Jindřich Žďánský
  • Petr Červa
  • Jan Kolorenč
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4188)

Abstract

In the paper we describe a complex multi-level system that serves for automatic search in large records of Czech spoken data. It includes modules for audio signal segmentation, speaker identification and adaptation, speech recognition and full-text search. The search can focus both on key-words and key-speakers. The transcription accuracy is about 79 % (for broadcast programs), search accuracy about 90 %. Due to its distributed platform, the system can operate in almost real-time.

Keywords

Speech Recognition Audio Signal Automatic Speech Recognition Speaker Identification Broadcast News 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jan Nouza
    • 1
  • Jindřich Žďánský
    • 1
  • Petr Červa
    • 1
  • Jan Kolorenč
    • 1
  1. 1.SpeechLabTechnical University of LiberecLiberec 1Czech Republic

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