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 …
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 …
Extensive research in predicting annual passenger throughput has been conducted, aiming at providing decision support for airport construction, aircraft procurement, resource …
Concealing the identity through speaker anonymization is essential in various situations. This study focuses on investigating how stuttering affects the anonymization process. Two …
Even nowadays, people have only a very limited understanding about animal communication. Scientists are still far from identifying statistically relevant, animal-specific …
The automated classification of stuttered speech has significant implications for timely assessments providing assistance to speech language pathologists. Despite notable …
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 …
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 …
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 …