Summary of the paper
| Title | Comparison of Spectral Properties of Read, Prepared and Casual Speech in French |
|---|---|
| Authors | Jean-Luc Rouas, Mayumi Beppu and Martine Adda-Decker |
| Abstract | In this paper, we investigate the acoustic properties of phonemes in three speaking styles: read speech, prepared speech and spontaneous speech. Our aim is to better understand why speech recognition systems still fails to achieve good performances on spontaneous speech. This work follows the work of Nakamura et al. on Japanese speaking styles, with the difference that we here focus on French. Using Nakamura's method, we use classical speech recognition features, MFCC, and try to represent the effects of the speaking styles on the spectral space. Two measurements are defined in order to represent the spectral space reduction and the spectral variance extension. Experiments are then carried on to investigate if indeed we find some differences between the three speaking styles using these measurements. We finally compare our results to those obtained by Nakamura on Japanese to see if the same phenomenon appears. We happen to find some cues, and it also seems that phone duration also plays an important role regarding spectral reduction, especially for spontaneous speech. |
| Topics | Speech Recognition/Understanding, Discourse annotation, representation and processing, Other |
Full paper |
Comparison of Spectral Properties of Read, Prepared and Casual Speech in French |
Slides |
- |
| Bibtex | @InProceedings{ROUAS10.704, author = {Jean-Luc Rouas and Mayumi Beppu and Martine Adda-Decker}, title = {Comparison of Spectral Properties of Read, Prepared and Casual Speech in French}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |