Kvalitativní posun v automatickém rozpoznávání jazyků s využitím streamovaných audio-médií
Project Period: 19. 1. 2006 - 19. 7. 2007
Project Type: grant
Agency: CESNET National Research and Education Network
speech processing, language identification, parallel computing, unsupervised acquisition of speech data, streaming
The projects aims at massive usage of streamed audio for a qualitative improvement of LID (automatic language identification) system accuracy. The speech processing research group at Faculty of Information Technology, Brno University of Technology (Speech@FIT) disposes of a state-of-the-art LID system based on acoustic and phonotactic modeling. For further improvement of its accuracy, it is crucial to gather huge amounts of language-specific data. In the framework of this project, such data will be collected from available streamed sources (Internet radios), on-line stored, parameterized and processed. We will develop software for training of LID models. Resulting models and algorithms will be evaluated in international evaluation campaigns organized by NIST and in cooperation with Czech law enforcement forces.