Birdsong analysis using beta process hidden Markov model

Ryunosuke Hamada; Takatomi Kubo; Kentaro Katahira; Kenta Suzuki; Kazuo Okanoya; Kazushi Ikeda

doi:10.1109/MLSP.2014.6958848

Birdsong analysis using beta process hidden Markov model

Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda

New Industry Creation Hatchery Center (NICHe)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We proposed a new scheme on automatic annotation and analysis for songs of Bengalese finches, that have variability in terms of syllable sequencing. The scheme annotates songs by using the beta process hidden Markov model, a Bayesian non-parametrics method. The annotation was confirmed to agree to the results by the manual annotation by an expert almost perfectly (0.81-1.00) for songs by three out of four Bengalese finches. Our scheme also analyzed the syntactic rules of the birdsongs and found that the difference of the variations in sequencing of four different birds was accounted for by the difference of tutors, giving a new insight to development of syntax.

Original language	English
Title of host publication	IEEE International Workshop on Machine Learning for Signal Processing, MLSP
Editors	Tulay Adali, Jan Larsen, Mamadou Mboup, Eric Moreau
Publisher	IEEE Computer Society
ISBN (Electronic)	9781479936946
DOIs	https://doi.org/10.1109/MLSP.2014.6958848
Publication status	Published - 2014 Nov 14
Event	2014 24th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2014 - Reims, France Duration: 2014 Sep 21 → 2014 Sep 24

Publication series

Name	IEEE International Workshop on Machine Learning for Signal Processing, MLSP
ISSN (Print)	2161-0363
ISSN (Electronic)	2161-0371

Conference

Conference	2014 24th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2014
Country/Territory	France
City	Reims
Period	14/9/21 → 14/9/24

Keywords

Automatic annotation
Bayesian nonparametrics
Beta process hidden Markov model
Birdsongs
Syntactic rule

ASJC Scopus subject areas

Human-Computer Interaction
Signal Processing

Access to Document

10.1109/MLSP.2014.6958848

Cite this

Hamada, R., Kubo, T., Katahira, K., Suzuki, K., Okanoya, K., & Ikeda, K. (2014). Birdsong analysis using beta process hidden Markov model. In T. Adali, J. Larsen, M. Mboup, & E. Moreau (Eds.), IEEE International Workshop on Machine Learning for Signal Processing, MLSP [6958848] (IEEE International Workshop on Machine Learning for Signal Processing, MLSP). IEEE Computer Society. https://doi.org/10.1109/MLSP.2014.6958848

Birdsong analysis using beta process hidden Markov model. / Hamada, Ryunosuke; Kubo, Takatomi; Katahira, Kentaro; Suzuki, Kenta; Okanoya, Kazuo; Ikeda, Kazushi.

IEEE International Workshop on Machine Learning for Signal Processing, MLSP. ed. / Tulay Adali; Jan Larsen; Mamadou Mboup; Eric Moreau. IEEE Computer Society, 2014. 6958848 (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hamada, R, Kubo, T, Katahira, K, Suzuki, K, Okanoya, K & Ikeda, K 2014, Birdsong analysis using beta process hidden Markov model. in T Adali, J Larsen, M Mboup & E Moreau (eds), IEEE International Workshop on Machine Learning for Signal Processing, MLSP., 6958848, IEEE International Workshop on Machine Learning for Signal Processing, MLSP, IEEE Computer Society, 2014 24th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2014, Reims, France, 14/9/21. https://doi.org/10.1109/MLSP.2014.6958848

Hamada R, Kubo T, Katahira K, Suzuki K, Okanoya K, Ikeda K. Birdsong analysis using beta process hidden Markov model. In Adali T, Larsen J, Mboup M, Moreau E, editors, IEEE International Workshop on Machine Learning for Signal Processing, MLSP. IEEE Computer Society. 2014. 6958848. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP). https://doi.org/10.1109/MLSP.2014.6958848

Hamada, Ryunosuke ; Kubo, Takatomi ; Katahira, Kentaro ; Suzuki, Kenta ; Okanoya, Kazuo ; Ikeda, Kazushi. / Birdsong analysis using beta process hidden Markov model. IEEE International Workshop on Machine Learning for Signal Processing, MLSP. editor / Tulay Adali ; Jan Larsen ; Mamadou Mboup ; Eric Moreau. IEEE Computer Society, 2014. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP).

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abstract = "We proposed a new scheme on automatic annotation and analysis for songs of Bengalese finches, that have variability in terms of syllable sequencing. The scheme annotates songs by using the beta process hidden Markov model, a Bayesian non-parametrics method. The annotation was confirmed to agree to the results by the manual annotation by an expert almost perfectly (0.81-1.00) for songs by three out of four Bengalese finches. Our scheme also analyzed the syntactic rules of the birdsongs and found that the difference of the variations in sequencing of four different birds was accounted for by the difference of tutors, giving a new insight to development of syntax.",

keywords = "Automatic annotation, Bayesian nonparametrics, Beta process hidden Markov model, Birdsongs, Syntactic rule",

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Birdsong analysis using beta process hidden Markov model

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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