Dental loop SnP: Speech and phonetic pattern recognition

Taseef Hasan Farook, Farhan Hasin Saad, Saif Ahmed, James Dudley

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
1 Downloads (Pure)

Abstract

Dental Loop SnP represents a pioneering python-based software application tailored to analyse phonetic speech patterns in patients and research. By extracting audio from video recordings that capture patients speaking, the software applies an AI-driven text-to-speech engine to create accurate reference speech samples. These samples are further processed through automated audio segmentation and subjected to statistical and spectral phonetic analysis techniques, resulting in the generation of diverse graphical data. The software's modular design allows for easy expansion by incorporating new phonemes and keywords, rendering it a highly adaptable and customisable tool in the realms of dentistry, speech therapy and craniofacial research.

Original languageEnglish
Article number101604
Number of pages9
JournalSoftwareX
Volume24
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Keywords

  • Audio pattern recognition
  • Object detection
  • Phonetics
  • Speech

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