Identification of Nasalization and Nasal Assimilation from Children’s Speech

Pravin Bhaskar Ramteke, Sujata Supanekar, Venkataraja Aithal, Shashidhar G. Koolagudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In children, nasalization is a commonly observed phonological process where the non-nasal sounds are substituted with nasal sounds. Here, an attempt has been made for the identification of nasalization and nasal assimilation. The properties of nasal sounds and nasalized voiced sounds are explored using MFCCs extracted from Hilbert envelope of the numerator of group delay (HNGD) Spectrum. HNGD Spectrum highlights the formants in the speech and extra nasal formant in the vicinity of first formant in nasalized voiced sounds. Features extracted from correctly pronounced and mispronounced words are compared using Dynamic Time Warping (DTW) algorithm. The nature of the deviation of DTW comparison path from its diagonal behavior is analyzed for the identification of mispronunciation. The combination of FFT based MFCCs and HNGD spectrum based MFCCs are observed to achieve highest accuracy of 82.22% within the tolerance range of ±50 ms.

Original languageEnglish
Title of host publicationMining Intelligence and Knowledge Exploration - 7th International Conference, MIKE 2019, Proceedings
EditorsP. B.R., Veena Thenkanidiyoor, Rajendra Prasath, Odelu Vanga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages244-253
Number of pages10
ISBN (Print)9783030661861
DOIs
Publication statusPublished - 2020
Event7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019 - Veling, India
Duration: 19-12-201922-12-2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11987 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019
CountryIndia
CityVeling
Period19-12-1922-12-19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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