Psychology of the Vibrato in Voice and Instrument

Husson, R; Seashoee, Carl E.

doi:10.2307/925282

Cited by 1 publication

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In classical singing, vocal vibrato is a temporal modulation which lies at 4 to 8 Hz [30], [31] and spectral modulations depend on the spectral composition of a sung vowel, which provide information on the harmonic structure of a sound. The spectral composition can show how breathy or strained the voice sounds, which depends on the singer's physical effort on the vocal folds and the amount of used airflow [32].…”

Section: Goals Of the Current Studymentioning

confidence: 99%

“…The block length is longer than commonly used in speech signal processing (25 to 50 ms) to accommodate the nature of the singing voice. The most important aspect is the choice of a block length and a hop size that allow to study the vibrato characteristics of the classical singing voice, which has a vibrato frequency around 4 to 8 Hz [30].…”

Section: A Modulation Power Spectrummentioning

confidence: 99%

See 1 more Smart Citation

Classification of Phonation Modes in Classical Singing Using Modulation Power Spectral Features

et al. 2023

View full text Add to dashboard Cite

In singing, the perceptual term "voice quality" is used to describe expressed emotions and singing styles. In voice physiology research, specific voice qualities are discussed by the term phonation modes and are related directly to the voicing produced by the vocal folds. The control and awareness of phonation modes is vital for professional singers to maintain a healthy voice. Most studies on phonation modes have investigated speech and have used glottal inverse filtering to compute features from an estimated excitation signal. The performance of this method is reported to decrease at high pitches, which limits its usability for the singing voice. To overcome this, this study proposes to use features derived from the modulation power spectrum for phonation mode classification in the singing voice. The exploration of the modulation power spectrum is motivated by the fact that, in singing, temporal modulations (known as vocal vibrato) and spectral modulations hold information of the vocal fold tension. Since there exists no large publicly available dataset of phonation modes in singing, we created a new dataset consisting of six female and four male classical singers, who sang five vowels at different pitches in three phonation modes (breathy, modal, and pressed). Experimental results with a support vector machine classifier reveal that the proposed features show better classification performance compared to state-of-the-art reference features. The performance for the current dataset is at least 10% higher compared to the performance of the reference features (such as glottal source features and MFCCs) in the case of target labels and around 6% higher in the case of perceptually assessed labels.INDEX TERMS Modulation power spectrum, phonation modes, singing voice analysis, voice qualities.

show abstract

Section: Goals Of the Current Studymentioning

confidence: 99%

Section: A Modulation Power Spectrummentioning

confidence: 99%