| Paper: | SP-L3.5 | ||
| Session: | Distributed Speech Recognition | ||
| Time: | Wednesday, May 19, 14:20 - 14:40 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Robust Speech Recognition | ||
| Title: | ROBUST SPEECH RECOGNITION TECHNIQUES EVALUATION FOR TELEPHONY SERVER BASED IN-CAR APPLICATIONS | ||
| Authors: | Lionel Delphin-Poulat; France Télécom R&D | ||
| Abstract: | In this paper, the feasibility of designing a speech-recognition based telephony server for in-car applications with an acceptable recognition rate is investigated. The whole acoustic channel (sound pickup, sound transmission over the cellular network, feature extraction) is evaluated: the loss or the gain in performance due to each element is quantified. More precisely, two sound pickup systems (a hypercardioid microphone and a microphone array) were tested. A standard MFCC and the Aurora Advanced front-ends were evaluated. Recognition performances were measured before and after transmission over a cellular (GSM) network. The gain of using either a robust sound recording device or noise robust front-end is demonstrated. | ||
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