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 …

SSDM: Scalable Speech Dysfluency Modeling

J Lian, X Zhou, Z Ezzes, J Vonk, B Morin… - arXiv preprint arXiv …, 2024 - arxiv.org
Speech dysfluency modeling is the core module for spoken language learning, and speech
therapy. However, there are three challenges. First, current state-of-the-art solutions\cite …

Whisper in Focus: Enhancing Stuttered Speech Classification with Encoder Layer Optimization

H Ameer, S Latif, R Latif, S Mukhtar - arXiv preprint arXiv:2311.05203, 2023 - arxiv.org
In recent years, advancements in the field of speech processing have led to cutting-edge
deep learning algorithms with immense potential for real-world applications. The automated …

Prediction of Hourly Airport Operational Throughput with a Multi-Branch Convolutional Neural Network

H Feng, Y Zhang - Aerospace, 2024 - mdpi.com
Extensive research in predicting annual passenger throughput has been conducted, aiming
at providing decision support for airport construction, aircraft procurement, resource …

[PDF][PDF] Anonymization of Stuttered Speech–Removing Speaker Information while Preserving the Utterance

J Hintz, S Bayerl, Y Sinha, S Ghosh… - Proc. 3rd Symposium …, 2023 - isca-archive.org
Concealing the identity through speaker anonymization is essential in various situations.
This study focuses on investigating how stuttering affects the anonymization process. Two …

[图书][B] Deep Learning Applied to Animal Linguistics

C Bergler - 2023 - search.proquest.com
Even nowadays, people have only a very limited understanding about animal
communication. Scientists are still far from identifying statistically relevant, animal-specific …

Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment

H Ameer, S Latif, IT Bhatti, R Latif - arXiv preprint arXiv:2406.05784, 2024 - arxiv.org
The automated classification of stuttered speech has significant implications for timely
assessments providing assistance to speech language pathologists. Despite notable …

Comparative Analysis of Classifiers using Wav2Vec2. 0 Layer Embeddings for Imbalanced Stuttering Datasets

M Sen, A Batra, PK Das - 2024 First International Conference …, 2024 - ieeexplore.ieee.org
Stuttering is a speaking problem affecting normal fluency and flow of speech. Despite
research done in this area, stuttering detection and identification is challenging in nature …

Classification of Speech Arrests and Speech Impairments during Awake Craniotomy: a multi-databases analysis

I Maoudj, A Kuwano, C Panheleux, Y Kubota… - 2024 - researchsquare.com
Purpose: Awake craniotomy presents a unique opportunity to map and preserve critical
brain functions, particularly speech, during tumor resection. The ability to accurately assess …

Deep Scattering Wavelet Network and Marine Predators Algorithm-Based Stuttering Disfluency Detection

R Jegan, B Kaushal, GK Birajdar… - … Intelligence for Oncology …, 2025 - taylorfrancis.com
The primary goal of speech is to convey information in a linguistic form with fluent and
improved articulation. Stuttering is a speech disorder wherein a person suffers from …