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.
This work was supported by the Czech Grant Agency (GACR grant no. 102/05/0278).
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Nouza, J., Žďánský, J., Červa, P., Kolorenč, J. (2006). A System for Information Retrieval from Large Records of Czech Spoken Data. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_61
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DOI: https://doi.org/10.1007/11846406_61
Publisher Name: Springer, Berlin, Heidelberg
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