Machine learning for stuttering identification: Review, challenges and future directions

SA Sheikh, M Sahidullah, F Hirsch, S Ouni - Neurocomputing, 2022 - Elsevier
Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …

Fluentnet: End-to-end detection of stuttered speech disfluencies with deep learning

T Kourkounakis, A Hajavi… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Millions of people are affected by stuttering and other speech disfluencies, with the majority
of the world having experienced mild stutters while communicating under stressful …

Stutternet: Stuttering detection using time delay neural network

SA Sheikh, M Sahidullah, F Hirsch… - 2021 29th European …, 2021 - ieeexplore.ieee.org
This paper introduces StutterNet, a novel deep learning based stuttering detection capable
of detecting and identifying various types of disfluencies. Most of the existing work in this …

Artificial neural networks combined with the principal component analysis for non-fluent speech recognition

I Świetlicka, W Kuniszyk-Jóźkowiak, M Świetlicki - Sensors, 2022 - mdpi.com
The presented paper introduces principal component analysis application for dimensionality
reduction of variables describing speech signal and applicability of obtained results for the …

Speaker Recognition through Deep Learning Techniques: A Comprehensive Review and Research Challenges

N Shome, A Sarkar, AK Ghosh, RH Laskar… - … and Computer Science, 2023 - pp.bme.hu
Deep learning has now become an integral part of today's world and advancement in the
field of deep learning has gained a huge development. Due to the extensive use and fast …

FluentNet: end-to-end detection of speech disfluency with deep learning

T Kourkounakis, A Hajavi, A Etemad - arXiv preprint arXiv:2009.11394, 2020 - arxiv.org
Strong presentation skills are valuable and sought-after in workplace and classroom
environments alike. Of the possible improvements to vocal presentations, disfluencies and …

Automatic speech disfluency detection using wav2vec2. 0 for different languages with variable lengths

J Liu, A Wumaier, D Wei, S Guo - Applied Sciences, 2023 - mdpi.com
Speech is critical for interpersonal communication, but not everyone has fluent
communication skills. Speech disfluency, including stuttering and interruptions, affects not …

Stuttering disfluency detection using machine learning approaches

AK Al-Banna, E Edirisinghe, H Fang… - Journal of Information & …, 2022 - World Scientific
Stuttering is a neurodevelopmental speech disorder wherein people suffer from disfluency in
speech generation. Recent research has applied machine learning and deep learning …

Efficient Recognition and Classification of Stuttered Word from Speech Signal using Deep Learning Technique

K Murugan, NK Cherukuri… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
Fluency is a metric that assesses how well a speaker communicates with another person
while presenting the information. Stuttering is one of the fluency problems that have a …

[PDF][PDF] 'Phoneme duration scheme for tajweed medd rules recognition in Qur'an recitation,''

AMA Al-Qadasi - PhD, Computer science, Universiti Teknologi …, 2021 - eprints.utm.my
The speech recognition techniques can be used to implement a Computer-Aided
Pronunciation Learning (CAPL) System, however, the Computer-Aided Holy Qur'an …