Abstract
In the framework of a recently introduced algorithm for speech phoneme segmentation, a novel strategy has been elaborated for comparing different speech encoding methods and for finding parameters which are optimal to the algorithm. The automatic procedure that implements this strategy allows to improve previously declared performances and poses the basis for a more accurate comparison between the investigated segmentation system and other segmentation methods proposed in literature.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bishop, C. M.: Neural Networks for Pattern Recognition. Clarendon Press (1995).
Esposito, A.: The importance of data for training intelligent devices. “From Synapses to Rules: Discovering Symbolic Rules from Neural Processed Data”, proc. of 5th International School of Neural Nets “E.R. Caianiello”, Apolloni B. and Kurfus K. (Eds.), Kluwer Academic Press (to appear).
Aversano, G., Esposito, A., Esposito, A., Marinaro, M.: A New Text-Independent Method for Phoneme Segmentation. Proc. of 44th IEEE Midwest Symposium on Circuits and Systems 2 (2001) 516–519.
Petek, B., Andersen, O., Dalsgaard, P.: On the robust automatic segmentation of spontaneous speech. Proc. of ICSLP’ 96 (1996) 913–916.
Pellom, B.L., Hansen, J.H.L.: Automatic segmentation of speech recorded in unknown noisy channel characteristics. Speech Communication 25 (1998) 97–116.
Duttweiler, D., Messerschmitt, D.: Nearly instantaneous companding for nonuniformly quantized PCM. IEEE Transactions on Communications COM-24 (1976) 864–873.
Rabiner, L., Juang, B.: Fundamentals of Speech Recognition. Prentice-Hall (1993).
Hermansky, H.: Perceptual Linear Predictive (PLP) Analysis of Speech. Jour. Acoust. Soc. Am. 87(4) (1990) 1738–1752.
Hermansky, H., Morgan, N.: RASTA Processing of Speech. IEEE Trans. On Speech and Audio Processing 2(4) (1994) 578–589.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aversano, G., Esposito, A. (2002). Automatic Parameter Estimation for a Context-Independent Speech Segmentation Algorithm. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_40
Download citation
DOI: https://doi.org/10.1007/3-540-46154-X_40
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44129-8
Online ISBN: 978-3-540-46154-8
eBook Packages: Springer Book Archive