Noise robust automatic speech recognition: review and analysis

M Dua, Akanksha, S Dua - International Journal of Speech Technology, 2023 - Springer
Abstract Automatic Speech Recognition (ASR) system is an emerging technology used in
various fields such as robotics, traffic controls, and healthcare, etc. The leading cause of …

Mouth sounds: A review of Acoustic Applications and methodologies

NE Naal-Ruiz, EA Gonzalez-Rodriguez… - Applied Sciences, 2023 - mdpi.com
Mouth sounds serve several purposes, from the clinical diagnosis of diseases to emotional
recognition. The following review aims to synthesize and discuss the different methods to …

[PDF][PDF] Student's health exercise recognition tool for E-learning education

T Al Shloul, M Javeed, M Gochoo… - Intell. Autom. Soft …, 2023 - researchgate.net
Due to the recently increased requirements of e-learning systems, multiple educational
institutes such as kindergarten have transformed their learning towards virtual education …

Improving whispered speech recognition performance using pseudo-whispered based data augmentation

Z Lin, T Patel, O Scharenborg - 2023 IEEE Automatic Speech …, 2023 - ieeexplore.ieee.org
Whispering is a distinct form of speech known for its soft, breathy, and hushed
characteristics, often used for private communication. The acoustic characteristics of …

Toward assessment of human voice biomarkers of brain lesions through explainable deep learning

B Gutiérrez-Serafín, J Andreu-Perez… - … Signal Processing and …, 2024 - Elsevier
Lesions in the brain resulting from traumatic injuries or strokes can evolve into speech
dysfunction in undiagnosed patients. Employing ML-based tools to analyze the prosody or …

[HTML][HTML] ScaloAdaptAlert, a novel framework for supervised anomaly detection in industrial acoustic data, integrating power scalograms, adaptive filter banks, and …

MAZ Harandi, TY Lin, C Li, SL Villumsen… - Journal of Manufacturing …, 2025 - Elsevier
Acoustic data, as a modality for building data-driven industrial monitoring systems, is
particularly notable for its comprehensive insights into both operational and machinery …

[HTML][HTML] Whispered speech detection using glottal flow-based features

K Phapatanaburi, W Pathonsuwan, L Wang… - Symmetry, 2022 - mdpi.com
Recent studies have reported that the performance of Automatic Speech Recognition (ASR)
technologies designed for normal speech notably deteriorates when it is evaluated by …

Quartered spectral envelope and 1D-CNN-based classification of normally phonated and whispered speech

SJ Joysingh, P Vijayalakshmi, T Nagarajan - Circuits, Systems, and Signal …, 2023 - Springer
Human–computer interaction via speech is more common than ever before. Whisper, as a
form of speech, is not sufficiently addressed by mainstream speech applications, such as …

Quartered Chirp Spectral Envelope for Whispered vs Normal Speech Classification

SJ Joysingh, P Vijayalakshmi, T Nagarajan - arxiv preprint arxiv …, 2024 - arxiv.org
Whispered speech as an acceptable form of human-computer interaction is gaining traction.
Systems that address multiple modes of speech require a robust front-end speech classifier …

Physical Locomotion Detection using pre-classification for Muscles monitoring

M Javeed, M Batool - 2022 19th International Bhurban …, 2022 - ieeexplore.ieee.org
Revolutions in physical locomotion detection have aided in living a protected and effortless
life. Physical locomotion can be referred to as both indoor and outdoor human motion …