Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms
Ferrer CA, Guillén RR, Nöth E (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Springer
Book Volume: 11896 LNCS
Pages Range: 707-716
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Havana, CUB
ISBN: 9783030339036
DOI: 10.1007/978-3-030-33904-3_67
Abstract
This paper describes a problem in a reported Dynamic Time Warping (DTW) alignment procedure to compare the reference and detected glottal pulse length sequences, oriented to compare the evaluation of Pitch Detection Algorithms (PDAs) in pathological voices. The problem in the existing alignment method tends to overestimate the failure of the PDA, by aligning only the detected to the reference sequence. A solution is presented, which performs a bidirectional alignment reducing the differences present in the definitive comparison. The proposal is evaluated in both synthetic and real voice signals, by running three well-known PDAs, and the magnitude of the error reduction along with comments on the possible factors influencing its value, are given. The alignment variant introduced in this paper allows to perform a fairer comparison of the PDAs performances.
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Cuba (CU)How to cite
APA:
Ferrer, C.A., Guillén, R.R., & Nöth, E. (2019). Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms. In Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 707-716). Havana, CUB: Springer.
MLA:
Ferrer, Carlos A., Reinier Rodríguez Guillén, and Elmar Nöth. "Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms." Proceedings of the 24th Iberoamerican Congress on Pattern Recognition, CIARP 2019, Havana, CUB Ed. Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez, Springer, 2019. 707-716.
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