The dynamics of vocal onset

Lebacq, Jean; Dejonckere, Philippe H.

doi:10.1016/j.bspc.2019.01.004

Cited by 14 publications

(14 citation statements)

References 12 publications

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“…We design both the paralleled path, which means the EGG signal corresponds to the text, and the unparalleled path, which For the unparalleled path, as the waveform between F 0EGG and F 0Speech;old is different, we apply the coarse-grained fundamental frequency modification method to synthesize personalized speech. As the average value of the F 0 describes the pitch of the speaker, we calculate the ratio of the average value of the F 0 of the EGG signal and the original F 0 feature as equation (11) shows and set this ratio as the modified scale to adjust the F 0 and spectrum envelope of the acoustic features predicted by Tacotron-2 point by point. The adjustment equations are defined as follows.…”

Section: Fine-grained Fundamental Frequency Modification Methodsmentioning

confidence: 99%

“…As the F 0EGG signal contains personalized features of the speech, it can be utilized to adjust the original F 0 and synthesize personalized speech. By equation (11), the adjustment ratio R is figured out. Figure 15(c) is the spectrum of the original synthesized speech.…”

Section: Fine-grained Fundamental Frequency Modified Methodsmentioning

confidence: 99%

“…Liu compared the parametrization methods of EGG signals in distinguishing between phonation types [10]. Lebacq analyzed the dynamics of vocal onset through the shape of EGG signals [11]. Filipa discovered the immediate effects of using a flow ball device for voice exercises, which can assist voice training [12].…”

Section: Introductionmentioning

confidence: 99%

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Limited text speech synthesis with electroglottograph based on Bi-LSTM and modified Tacotron-2

et al. 2022

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This paper proposes a framework of applying only the EGG signal for speech synthesis in the limited categories of contents scenario. EGG is a sort of physiological signal which can reflect the trends of the vocal cord movement. Note that EGG’s different acquisition method contrasted with speech signals, we exploit its application in speech synthesis under the following two scenarios. (1) To synthesize speeches under high noise circumstances, where clean speech signals are unavailable. (2) To enable dumb people who retain vocal cord vibration to speak again. Our study consists of two stages, EGG to text and text to speech. The first is a text content recognition model based on Bi-LSTM, which converts each EGG signal sample into the corresponding text with a limited class of contents. This model achieves 91.12% accuracy on the validation set in a 20-class content recognition experiment. Then the second step synthesizes speeches with the corresponding text and the EGG signal. Based on modified Tacotron-2, our model gains the Mel cepstral distortion (MCD) of 5.877 and the mean opinion score (MOS) of 3.87, which is comparable with the state-of-the-art performance and achieves an improvement by 0.42 and a relatively smaller model size than the origin Tacotron-2. Considering to introduce the characteristics of speakers contained in EGG to the final synthesized speech, we put forward a fine-grained fundamental frequency modification method, which adjusts the fundamental frequency according to EGG signals and achieves a lower MCD of 5.781 and a higher MOS of 3.94 than that without modification.

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Section: Fine-grained Fundamental Frequency Modification Methodsmentioning

confidence: 99%

Section: Fine-grained Fundamental Frequency Modified Methodsmentioning

confidence: 99%

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Limited text speech synthesis with electroglottograph based on Bi-LSTM and modified Tacotron-2

et al. 2022

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“…The intraglottic pressure P can be calculated from the transglottic flow rate and the air particle velocity (= flow/surface) based on Bernoulli's law of energy [2,11,29]:…”

Section: Intraglottic Pressure Calculationmentioning

confidence: 99%

“…A critical moment in a soft voice onset is the transition from a motionless, spindleshaped glottis (as in Figure 12), crossed by a continuous expired flow, to a damped oscillating system [29]. A key element is the occurrence of turbulence in the airflow, as indicated by the dimensionless Reynolds number.…”

Section: Triggering the Oscillationmentioning

confidence: 99%

The Physics of the Human Vocal Folds as a Biological Oscillator

Henri DeJonckere,

Lebacq

2024

New Insights on Oscillators and Their Applications to Engineering and Science

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The human voice results from the vibration of air at the vocal folds (VF), which behave as a damped oscillator controlled by intraglottic pressure and tranglottic airflow. This chapter presents a complete synthesis of the physics of vocal dynamics (1) during a sustained oscillation, particularly with regard to the phase relationship between intraglottic pressure and glottal opening and closing; (2) during the onset of the oscillation, particularly with regard to the mechanism explaining the triggering of the initiation of the oscillation; and (3) during the decay of the damped oscillations during voice offset, particularly with regard to the effect of lung volume. The importance of air volume as an essential component of the vibratory system is highlighted. The experimental data are obtained in vivo by simultaneous measurement of the transglottic flow and the glottic surface, which allows the calculation of the intraglottic pressure and its interaction with the inertia of the vocal tract.

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Describing, Assessing, and Treating Voice Disorders

Morris

Harmon

2021

The Handbook of Language and Speech Disorders

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The dynamics of vocal onset

Cited by 14 publications

References 12 publications

Limited text speech synthesis with electroglottograph based on Bi-LSTM and modified Tacotron-2

Limited text speech synthesis with electroglottograph based on Bi-LSTM and modified Tacotron-2

The Physics of the Human Vocal Folds as a Biological Oscillator

Describing, Assessing, and Treating Voice Disorders

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