Acustica · 1997 · 214 citations · 8 references
AeroacousticsPsychoacousticsEngineeringNew MeasureSound QualityVoice DisordersPathological SpeechPathological VoicesSpeech EnhancementAcoustic ModelingSpeech RecognitionVoice QualityVocal Tract ImagingNoiseFrequency Modulation NoiseHealth SciencesNew Acoustic ParameterGlottal-to-noise Excitation RatioSpeech CommunicationSpeech ProcessingNeuroscienceSpeech Perception
Voice quality metrics such as HNR and NNE are sensitive to turbulence but cannot distinguish vocal fold vibrations from turbulent noise. This study introduces the Glottal‑to‑Noise Excitation Ratio (GNE) as a new acoustic parameter for objective voice quality description. GNE is computed from the correlation coefficient of Hilbert envelopes across frequency bands. Experiments with artificial signals demonstrate that GNE remains nearly independent of jitter and shimmer, unlike other measures.
Summary In this article a new acoustic parameter for the objective description of voice quality is introduced. It is based on the correlation coefficientfor Hilbert envelopes of different frequency bands. The parameter indicates whether a given voice signal originates from vibrations of the vocal folds or from turbulent noise generated in the vocal tract and is thus related to (but not a direct measure of) breathiness. Therefore it is named Glottal-to-Noise Excitation Ratio (GNE Ratio). GNE is compared to HNR (Harmonics-to-Noise Ratio) and NNE (Normalized Noise Energy), existing measures also sensitive to additive noise (turbulence). Experiments with artificialsignals show that only the GNE is almost independent of frequency modulation noise (jitter) and amplitude modulation noise (shimmer).
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William H. Press, Saul A. Teukolsky, William T. Vetterling et al. · 1994 · 15.3K citations
Mathematical Programming, Numerical Analysis, Electrical Engineering +11
A pitch-synchronous analysis of hoarseness in running speech
Hiroshi Muta, Thomas Baer, Kikuju Wagatsuma et al. · The Journal of the Acoustical Society of America · 1988 · 61 citations
Music, Health Sciences, Voice +11