Bird Song Synthesis Based on Hidden Markov Models

TitleBird Song Synthesis Based on Hidden Markov Models
Publication TypeConference Paper
Year of Publication2016
Conference NameInterspeech
AuthorsBonada, J., Lachlan, R., & Blaauw M.
Pagination2582-6
Conference Start Date13/09/2016
Conference LocationSan Francisco, USA
AbstractThis 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 documenthttp://hdl.handle.net/10230/32892
Final publication10.21437/Interspeech.2016-1110
intranet