A multichannel electroglottograph

Rothenberg, Martin

doi:10.1016/s0892-1997(05)80007-4

Cited by 89 publications

(54 citation statements)

References 2 publications

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“…Various objective measurements may be gathered from the analysis of electroglottograms. Parameters such as vibration fundamental frequency, amplitude perturbation, shimmer, frequency perturbation, jitter, and closed quotient 18 . Altuzarra & San Martin 19 reported that EGG is a broadly accepted method to measure fundamental frequency and F0 perturbation.…”

Section: Discussionmentioning

confidence: 99%

Medidas eletroglotográficas em falantes do português brasileiro por meio do Método Multiparamétrico de Avaliação Vocal Objetiva Assistida (EVA)

Faria¹,

Oliveira²,

Silva³

et al. 2012

Braz. j. otorhinolaryngol.

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Objective: This paper aims to define the mean values for electroglottography tests of Brazilian Portuguese speakers on EVA. Materials and Method:The voices of 20 men and 20 women without voice-related complaints were analyzed through electroglottography so as to obtain reference values for normality. Case study: this is a descriptive cross-sectional study. Results:The mean values for normal male voices were: F0 = 127.77 Hz; F0 coefficient of variation = 2.51%; absolute jitter = 1.707 Hz; relative average perturbation = 0.0083; jitter factor = 1.34%; jitter ratio = 13.45%; QF = 0.447. The values for female voices were: F0 = 204.87 Hz; F0 coefficient of variation = 1.58%; absolute jitter = 3.30Hz; relative average perturbation = 0.0102; jitter factor = 1.60%; jitter ratio = 16.23%; QF = 0.443. Wave type for the entire sample was categorized as tilted pulse.Conclusion: Statistically significant differences were found for gender on parameters average F0 and absolute jitter. While using acoustic analysis software, users must be based on parameters inherent to the software program when analyzing the collected data. Braz J Otorhinolaryngol. 2012;78(4):29-34. BJORL ORIGINAL ARTICLE

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Section: Discussionmentioning

confidence: 99%

Medidas eletroglotográficas em falantes do português brasileiro por meio do Método Multiparamétrico de Avaliação Vocal Objetiva Assistida (EVA)

Faria¹,

Oliveira²,

Silva³

et al. 2012

Braz. j. otorhinolaryngol.

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“…Devices like glottal electromagnetic sensors (GEMS) [4], P-mics [5], electroglottographs (EGG) [6] and bone-conduction microphones [7], provide secondary measurements of the speech production process and are relatively insensitive to audio noises. While systems deploying such auxiliary sensors have improved performances over conventional VADs, they have one serious drawback: the auxiliary sensors must be in physical contact with the talker.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Doppler Sensor for Voice Activity Detection

Kalgaonkar

Raj

2007

IEEE Signal Process. Lett.

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This paper describes a robust voice activity detector using an ultrasonic Doppler sonar device. An ultrasonic beam is incident on the talker's face. Facial movements result in Doppler frequency shifts in the reflected signal, that are sensed by an ultrasonic sensor. Speech-related facial movements result in identifiable patterns in the spectrum of the received signal, that can be used to identify speech activity. These sensors are not affected by even high levels of ambient audio noise. Unlike most other non-acoustic sensors, the device need not be taped to a talker. A simple yet robust method of extracting the voice activity information from the ultrasonic Doppler signal is developed and presented in this paper. The algorithm is seen to be very effective and robust to noise, and can be implemented in real time. IEEE Signal Processing Letters, Oct. 2007This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Abstract-This paper describes a robust voice activity detector using an ultrasonic Doppler sonar device. An ultrasonic beam is incident on the talker's face. Facial movements result in Doppler frequency shifts in the reflected signal, that are sensed by an ultrasonic sensor. Speech-related facial movements result in identifiable patterns in the spectrum of the received signal, that can be used to identify speech activity. These sensors are not affected by even high levels of ambient audio noise. Unlike most other non-acoustic sensors, the device need not be taped to a talker. A simple yet robust method of extracting the voice activity information from the ultrasonic Doppler signal is developed and presented in this paper. The algorithm is seen to be very effective and robust to noise, and can be implemented in real time.

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“…Glottal closing and opening instants can be determined from the differentiated EGG signal, and hence glottal parameters such as fundamental frequency, open, closed or contact quotients can be derived [57]. The technique can be refined by the use of several electrodes [58,59] which can give access to larynx position and supra glottal contact such as ventricular-fold vibration. Developing new methods for analysing and displaying electroglottographic signals and their first derivative is the subject of on-going research [60].…”

Section: Electroglottography -Vocal Fold Contact Measurementmentioning

confidence: 99%

Analysing and Understanding the Singing Voice: Recent Progress and Open Questions

Kob¹,

Henrich²,

Herzel³

et al. 2011

CBIO

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Abstract:The breadth of expression in singing depends on fine control of physiology and acoustics. In this review, the basic concepts from speech acoustics, including the source-filter model, models of the glottal source and source-filter interactions, are described. The precise control, the extended pitch range, the timbre control and, in some cases, the uses of alternate phonation modes all merit further attention and explanation. Here we review features of the singing voice and the understanding that has been delivered by new measurement techniques. We describe the glottal mechanisms and the control of vocal tract resonances used in singing. We review linear and nonlinear components of the voice and the way in which they are measured and modelled and discuss the aero-acoustic models. We conclude with a list of open questions and active fields of research.

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A multichannel electroglottograph

Cited by 89 publications

References 2 publications

Medidas eletroglotográficas em falantes do português brasileiro por meio do Método Multiparamétrico de Avaliação Vocal Objetiva Assistida (EVA)

Medidas eletroglotográficas em falantes do português brasileiro por meio do Método Multiparamétrico de Avaliação Vocal Objetiva Assistida (EVA)

Ultrasonic Doppler Sensor for Voice Activity Detection

Analysing and Understanding the Singing Voice: Recent Progress and Open Questions

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