Dental loop SnP: Speech and phonetic pattern recognition

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 refere...

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Bibliographic Details
Main Authors: Taseef Hasan Farook, Farhan Hasin Saad, Saif Ahmed, James Dudley
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:SoftwareX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235271102300300X
Description
Summary: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.
ISSN:2352-7110