| Paper: | SP-P14.10 | ||
| Session: | Acoustic Modeling: Tone, Prosody, and Features | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Acoustic Modeling for Speech Recognition | ||
| Title: | PROSODY-BASED RECOGNITION OF SPOKEN GERMAN VARIETIES | ||
| Authors: | Vedran Dizdarevic; Graz University of Technology | ||
| Franz Pernkopf; Graz University of Technology | |||
| Micha Baum; SPEX | |||
| Martin Hagmüller; Graz University of Technology | |||
| Gernot Kubin; Graz University of Technology | |||
| Abstract: | An approach to the recognition of regional language varieties is presented. The algorithm is tested on utterances of 3 to 6 seconds duration taken from large speech databases (SpeechDat) of Austrian and German German. The features are based only on the prosody of the speech and include parameters derived from the Fujisaki model and statistics of the fundamental frequency. Classification is performed using a multi layer perceptron and yielded a rate of 64% correct identification of the regional ariety. Those results are then further evaluated for the use of a regional variety recognizer as a front-end of an automatic speech recognizer for different regional varieties. In case there is no a priori information of the distribution of the regional varieties spoken by the users, this approach yields a considerable improvement in the robustness of the speech recognition rates. | ||
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