Autoregressive Based Vocal Tract Shape Modelling of Vowels in Speech Processing

Authors

  • Balakrishnan Sivakumar Department of ETE, Dr. Ambedkar Institute of Technology., Bangalore, India
  • Praveen Kadakola Biligirirangaiah Department of Electronics Engineering, PRIST University, Thanjavur., Bangalore, India

DOI:

https://doi.org/10.37934/araset.32.1.3245

Keywords:

Speech Processing, Pitch, vocal, vowels, Acoustic

Abstract

In the present research article, which concentrates on the estimation of the vocal tract shape for the five vowels of Indian English in the current growing interest in the field of speech processing, with practical limitation of the data that can be collected and analysed. Speakers without the degree of control on articulators cannot produce the desired data. Here, we aim to design an approximate phonatory model by improving the present approach for acoustic calculation with a fully aerodynamic simulation, explicitly accounting for the propagation of sound along the tract, generating patterns of movement of simulated vocal tract articulators, and specifying the temporal relations among dynamically defined gestures that lead to a time-varying vocal tract filter function, and an acoustic waveform. The principle of phonetic distinctiveness and formants frequency spread is one of the crucial parameters that are measured and compared on intra, inter-speaker in actual speaker identification & forensic applications.

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Author Biographies

Balakrishnan Sivakumar, Department of ETE, Dr. Ambedkar Institute of Technology., Bangalore, India

drsivakumar.et@drait.edu.in

Praveen Kadakola Biligirirangaiah, Department of Electronics Engineering, PRIST University, Thanjavur., Bangalore, India

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Published

2023-08-21

How to Cite

Balakrishnan Sivakumar, & Praveen Kadakola Biligirirangaiah. (2023). Autoregressive Based Vocal Tract Shape Modelling of Vowels in Speech Processing . Journal of Advanced Research in Applied Sciences and Engineering Technology, 32(1), 32–45. https://doi.org/10.37934/araset.32.1.3245

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Articles