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
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author Taseef Hasan Farook
Farhan Hasin Saad
Saif Ahmed
James Dudley
author_facet Taseef Hasan Farook
Farhan Hasin Saad
Saif Ahmed
James Dudley
author_sort Taseef Hasan Farook
collection DOAJ
description 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.
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spelling doaj.art-920d8e5bb1e244c3b799cafe578563932023-12-16T06:08:20ZengElsevierSoftwareX2352-71102023-12-0124101604Dental loop SnP: Speech and phonetic pattern recognitionTaseef Hasan Farook0Farhan Hasin Saad1Saif Ahmed2James Dudley3Adelaide Dental School, University of Adelaide, Adelaide SA5000, Australia; Corresponding author.Department of Electrical and Computer Engineering, North South University, Dhaka, BangladeshDepartment of Electrical and Computer Engineering, North South University, Dhaka, BangladeshAdelaide Dental School, University of Adelaide, Adelaide SA5000, AustraliaDental 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.http://www.sciencedirect.com/science/article/pii/S235271102300300XSpeechPhoneticsAudio pattern recognitionObject detection
spellingShingle Taseef Hasan Farook
Farhan Hasin Saad
Saif Ahmed
James Dudley
Dental loop SnP: Speech and phonetic pattern recognition
SoftwareX
Speech
Phonetics
Audio pattern recognition
Object detection
title Dental loop SnP: Speech and phonetic pattern recognition
title_full Dental loop SnP: Speech and phonetic pattern recognition
title_fullStr Dental loop SnP: Speech and phonetic pattern recognition
title_full_unstemmed Dental loop SnP: Speech and phonetic pattern recognition
title_short Dental loop SnP: Speech and phonetic pattern recognition
title_sort dental loop snp speech and phonetic pattern recognition
topic Speech
Phonetics
Audio pattern recognition
Object detection
url http://www.sciencedirect.com/science/article/pii/S235271102300300X
work_keys_str_mv AT taseefhasanfarook dentalloopsnpspeechandphoneticpatternrecognition
AT farhanhasinsaad dentalloopsnpspeechandphoneticpatternrecognition
AT saifahmed dentalloopsnpspeechandphoneticpatternrecognition
AT jamesdudley dentalloopsnpspeechandphoneticpatternrecognition