4th International Conference on Spoken Language Processing

Philadelphia, PA, USA
October 3-6, 1996

Pitch, Loudness, and Segmental Duration Correlates: Towards a Model for the Phonetic Aspects of Finnish Prosody

Martti Vainio (1), Toomas Altosaar (2)

(1) Department of Phonetics, University of Helsinki, Finland
(2) Acoustics Laboratory, Helsinki University of Technology, Finland

Neural networks are used widely today for modeling a variety of different aspects of spoken language. We use them to model Finnish lexical prosody with an aim to shed light on the interaction between the main prosodic parameters: segmental durations, loudness and pitch. We have analyzed the performance of a group of networks which were all trained to generate values for a different prosodic parameter given similar input information. The experiments were performed on speech material contained within our Finnish speech database.

Full Paper

Bibliographic reference.  Vainio, Martti / Altosaar, Toomas (1996): "Pitch, loudness, and segmental duration correlates: towards a model for the phonetic aspects of finnish prosody", In ICSLP-1996, 2052-2055.