Pitch, loudness, and segmental duration correlates: towards a model for the phonetic aspects of Finnish prosody

Author

Vainio, Martti ; Atosaar, T.

Author_Institution

Dept. of Phonetics, Helsinki Univ., Finland

Volume

4

fYear

1996

fDate

3-6 Oct 1996

Firstpage

2052

Abstract

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

Keywords

data structures; database management systems; loudness; natural languages; neural nets; speech processing; Finnish lexical prosody; Finnish speech database; input information; loudness; neural networks; phonetic aspects; pitch; prosodic parameters; segmental duration correlates; speech material; spoken language; Conducting materials; Data mining; Databases; Information analysis; Laboratories; Natural languages; Neural networks; Performance analysis; Speech recognition; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-3555-4

Type

conf

DOI

10.1109/ICSLP.1996.607204

Filename

607204