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Singing voice analysis on the basis of acoustic parameters

Bednarz Natalia, Madej Zdzisław

Vibrations in Physical Systems

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2023

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Vol. 34, nr 2

art. no. 2023211

EN

Voice plays a fundamental role in human relations. In addition to its communicative function in everyday life, the voice also acts as an instrument or a working tool for singers, teachers or actors. It is said that singing is an extension of speech, but performing it correctly is a complex task that requires hard work and training. This paper draws attention to the problem of insufficient training in voice emission and voice control of singers in amateur choirs, which can cause strain and disorders of the phonatory system. Tool that can assess the quality of a person's singing on the basis of acoustic parameters may prove useful. In order to determine parameters that could help evaluate the correctness of singing, a study was conducted on a group of 10 choir members and one professional singer. The study consisted of recording the singers' voice during singing and speech. The subjects performed simple vocal exercises consisting mainly in upward and downward sound modulation. In this study, portions of the recordings were analysed to determine parameters like Maximal Phonation Time (MPT), Singing Power Ratio (SPR) or signal integral. The values of obtained parameters for the choristers were compared with the results of the professional singer, which allowed to select those parameters that may be helpful in the evaluation of the singing voice. The parameters for which the connection between their value and singing correctness has been shown create a vector of features that can be used to assess the correctness of classical singing. The paper also describes further research plan.

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Timbre Solfege and auditory profile analysis

Żera Jan

Vibrations in Physical Systems

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2019

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Vol. 30, nr 1

art. no. 2019122

EN

A course in auditory evaluation of sound, called Timbre Solfege, was developed by a team of researchers headed by Professor Andrzej Rakowski, at the Music Acoustics Laboratory, Chopin University of Music. A large part of the course, taught at the Department of Sound Engineering, has been focused on the detection and identification of timbre changes produced by formants and by other kind of sound spectrum modifications. Detecting formants in sound recordings is an auditory task that has much in common with auditory profile analysis, an area of research initiated and developed in psychoacoustics by Professor David M. Green, exploring the fundamentals of detection of changes in the sound spectrum envelope shape, independently of the differences in loudness between the sounds. The purpose of this study is an attempt to relate the results of the Timbre Solfege sound evaluation drills to the theory of the auditory profile analysis.

3

Coding effects on changes in formant frequencies in Japanese speech signals

Kucharski Mateusz, Brachmański Stefan

Vibrations in Physical Systems

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2019

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Vol. 30, nr 1

art. no. 2019131

EN

This paper presents results of research on effects of lossy coding on formant frequencies for japanese speech signals. Additionally changes in pitch of the voice were inspected. For this research four most popular lossy coding standards were chosen, MP3, WMA, AAC and OGG, and compared to original WAVE files. Audio files were created by the author based on ITU-T P.501 recommendation in two sampling frequencies, 16 kHz and 48 kHz, and converted into chosen codecs. To extract the data from audio files, open license software Praat was used. Due to discovered differences in time duration between original and encoded files, that also differed between individual codecs, only OGG and WMA standards were compared directly. MP3 and AAC standards were divided into Japanese syllables, averaged and then compared into also averaged WAVE files. Results were additionally compared to FLAC lossless codec.

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Rozpoznawanie słów izolowanych przy wykorzystaniu ukrytych modeli Markowa

Grad L.

Biuletyn Instytutu Automatyki i Robotyki

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2000

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R. 6, nr 12

131-153

PL

W opracowaniu przedstawiono zastosowanie modeli Markowa do rozpoznawania słów izolowanych oraz porównano jakość rozpoznawania w oparciu o współczynniki liniowego kodowania predykcyjnego (LPC) i parametry widmowe pozyskane z widma amplitudowego sygnału.