A comparative study of pitch extraction algorithms on a large variety of singing sounds
| Autor: | Nathalie Henrich, Onur Babacan, Thierry Dutoit, Nicolas d'Alessandro, Thomas Drugman |
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| Přispěvatelé: | Circuit Theory and Signal Processing Laboratory, Université de Mons-Hainaut, GIPSA - Systèmes Linguistiques et Dialectologie (GIPSA-SLD), Département Parole et Cognition (GIPSA-DPC), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Henrich Bernardoni, Nathalie |
| Předmět: |
FOS: Computer and information sciences
Sound (cs.SD) Reverberation Computer science [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Speech recognition [SHS.INFO]Humanities and Social Sciences/Library and information sciences Feature extraction Speech synthesis 02 engineering and technology computer.software_genre Computer Science - Sound [SHS.INFO] Humanities and Social Sciences/Library and information sciences pitch extraction Voice analysis 030507 speech-language pathology & audiology 03 medical and health sciences analyse de la voix chantée [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Audio and Speech Processing (eess.AS) singing analysis/synthesis FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering [SHS.LANGUE]Humanities and Social Sciences/Linguistics Pitch contour [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph] [SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph] [SHS.LANGUE] Humanities and Social Sciences/Linguistics [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] synthèse Voice 020201 artificial intelligence & image processing Singing 0305 other medical science [PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] computer Algorithm extraction de la hauteur [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Electrical Engineering and Systems Science - Audio and Speech Processing |
| Zdroj: | HAL ICASSP 2013-Proceedings ICASSP 2013-38th IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2013-38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.1-5 ICASSP |
| Popis: | International audience; The problem of pitch tracking has been extensively studied in the speech research community. The goal of this paper is to investigate how these techniques should be adapted to singing voice analysis, and to provide a comparative evaluation of the most representative state-of-the-art approaches. This study is carried out on a large database of annotated singing sounds with aligned EGG recordings, comprising a variety of singer categories and singing exercises. The algorithmic performance is assessed according to the ability to detect voicing boundaries and to accurately estimate pitch contour. First, we evaluate the usefulness of adapting existing methods to singing voice analysis. Then we compare the accuracy of several pitchextraction algorithms, depending on singer category and laryngeal mechanism. Finally, we analyze their robustness to reverberation. |
| Databáze: | OpenAIRE |
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