Detection of the vocal cords' vibrations: Effect of the transducer's position

A method to acquire the signal of the vocal cords' vibrations was developed and presented. It is a non-invasive method that is based on attaching a transducer element to a collar and wrapping it around the individual's neck. The Short Term Fourier Transform (STFT) technique is applied on the collected signal to decompose it into its frequency contents. The features defined in terms of a range of frequencies are extracted for speaker identification purposes. The position of the transducer on the human's neck could affect the quality of the collected signal and consequently, the extracted features. Therefore, the study of the effect of the transducer's location is in accordance. In this context, the mediums through which the vocal cords' vibrations are propagated until their detection by the transducer are modeled. Subsequently, numerical simulation experiments are performed to determine the best location on the human's neck for transmission purposes.

[1]  Marzyeh Ghassemi,et al.  Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results for Vocal Fold Nodules , 2014, IEEE Transactions on Biomedical Engineering.

[2]  Arianna Astolfi,et al.  Cepstral peak prominence smoothed distribution as discriminator of vocal health in sustained vowel , 2017, 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[3]  Arianna Astolfi,et al.  Design Issues for a Portable Vocal Analyzer , 2013, IEEE Transactions on Instrumentation and Measurement.

[4]  A. Carullo,et al.  A phonatory system simulator for testing purposes of voice-monitoring contact sensors , 2017, 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[5]  S. Rokhlin,et al.  Stable recursive algorithm for elastic wave propagation in layered anisotropic media: stiffness matrix method. , 2002, The Journal of the Acoustical Society of America.

[6]  M.J.S. Lowe,et al.  Matrix techniques for modeling ultrasonic waves in multilayered media , 1995, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[7]  H. Franco,et al.  Combining standard and throat microphones for robust speech recognition , 2003, IEEE Signal Processing Letters.

[8]  Yang Zhang,et al.  Detection of the Vibration Signal from Human Vocal Folds Using a 94-GHz Millimeter-Wave Radar , 2017, Sensors.

[9]  Arianna Astolfi,et al.  Validation of calibration procedures and uncertainty estimation of contact-microphone based vocal analyzers , 2015 .

[10]  Dany Ishac,et al.  Speaker Identification Based On Vocal Cords Vibrations signal: Effect Of The Window , 2018 .

[11]  William M. Campbell,et al.  Multimodal Speaker Authentication using Nonacoustic Sensors , 2003 .

[12]  J. Allard Propagation of Sound in Porous Media: Modelling Sound Absorbing Materials , 1994 .

[13]  J. Lévêque,et al.  Mechanical properties and Young's modulus of human skin in vivo , 2004, Archives of Dermatological Research.

[14]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[15]  William P. Adams,et al.  Analysis of Facial Skin Thickness: Defining the Relative Thickness Index , 2005, Plastic and reconstructive surgery.