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Bird Song Synthesis Based on Hidden Markov Models

Title Bird Song Synthesis Based on Hidden Markov Models
Publication Type Conference Paper
Year of Publication 2016
Conference Name Interspeech
Authors Bonada, J. , Lachlan, R. , & Blaauw M.
Pagination 2582-6
Conference Start Date 13/09/2016
Conference Location San Francisco, USA
Abstract This paper focuses on the synthesis of bird songs using Hidden Markov Models (HMM). This technique has been widely used for speech modeling and synthesis. However, features and contextual factors typically used for human speech are not appropriate for modeling bird songs. Moreover, while for speech we can easily control the content of the recordings, this is not the case for bird songs, where we have to rely on the spontaneous singing of the animal. In this work we briefly overview the characteristics of bird songs, compare them to speech, and propose strategies for adapting the widely-used HTS (HMM-based Speech Synthesis System) framework to model and synthesize bird songs. In particular, we focus on Chaffinch species and a database of recordings of several song bouts of one male bird. At the end we discuss the synthesis results obtained.
preprint/postprint document
Final publication 10.21437/Interspeech.2016-1110