StutterNet: Stuttering Disfluencies Detection in Synthetic Speech Signals via Mel Frequency Cepstral Coefficients Features Using Deep Learning

StutterNet: Stuttering Disfluencies Detection in Synthetic Speech Signals via Mel Frequency Cepstral Coefficients Features Using Deep Learning

Stuttering is a speech disorder characterised by the repetition, prolongation, or blocking of sounds, syllables, or words, which can cause significant social and emotional difficulties for those who experience it. To help find and diagnose stuttering early, it is important for clinicians and researc...

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Bibliographic Details
Main Authors: Muhammad Abubakar, Muhammad Mujahid, Khadija Kanwal, Sajid Iqbal, Muhammad Nabeel Asghar, Abdullah Alaulamie
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Stuttering detection
machine learning
MFCC features
speech signals
BiLSTM
Online Access:https://ieeexplore.ieee.org/document/10599369/

Internet

https://ieeexplore.ieee.org/document/10599369/

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