Pattern mining approaches used in sensor-based biometric recognition: a review

J Chaki, N Dey, F Shi, RS Sherratt - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …

Feature extraction methods in language identification: a survey

D Deshwal, P Sangwan, D Kumar - Wireless Personal Communications, 2019 - Springer
Abstract Language Identification (LI) is one of the widely emerging field in the areas of
speech processing to accurately identify the language from the data base based on some …

RETRACTED ARTICLE: Audio-Visual Automatic Speech Recognition Towards Education for Disabilities

S Debnath, P Roy, S Namasudra… - Journal of Autism and …, 2023 - Springer
Education is a fundamental right that enriches everyone's life. However, physically
challenged people often debar from the general and advanced education system. Audio …

Material recognition for fault diagnosis in machine tools using improved Mel Frequency Cepstral Coefficients

J Yuan, L Li, H Shao, M Han, H Huang - Journal of Manufacturing …, 2023 - Elsevier
Identification of material type in structural cracks is crucial for fault diagnosis and structural
integrity assessment in multi-component operation systems. In the current literature, acoustic …

Acoustic emission characteristics of coal failure using automatic speech recognition methodology analysis

HL Wang, DZ Song, ZL Li, XQ He, SR Lan… - International Journal of …, 2020 - Elsevier
Monitoring acoustic emissions (AE) is an effective way to identify coal deformation and
destruction processes. It is therefore of great significance to analyze the characteristics of AE …

Bimodal fusion of visual and speech data for audiovisual speaker recognition in noisy environment

FZ Chelali - International Journal of Information Technology, 2023 - Springer
In human communications, the understanding of visual/acoustic signals as well as speaker
recognition in noisy environment is an important task, in our daily life. In this work, we focus …

Pattern analysis based acoustic signal processing: a survey of the state-of-art

J Chaki - International Journal of Speech Technology, 2021 - Springer
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …

DARE: Deceiving audio–visual speech recognition model

S Mishra, AK Gupta, P Gupta - Knowledge-Based Systems, 2021 - Elsevier
Audio–Visual speech recognition (AVSR) is an effective way to predict text corresponding to
the spoken words using both audio and face videos, even in a noisy environment. These …

Using computer speech recognition technology to evaluate spoken English.

Y Zhang, L Liu - Educational Sciences: Theory & Practice, 2018 - search.ebscohost.com
Spoken English learning has always been the largest obstacle to the English communicative
competence of Chinese students. This paper adopts the in-depth learning method based on …

Identification of the plants based on leaf shape descriptors

P Salve, M Sardesai, R Manza, P Yannawar - Proceedings of the Second …, 2016 - Springer
Plants are living organisms belonging to the vegetal kingdom that can live on land and in
water. Plants form the critical base of food chains in nearly all ecosystems. Plants are vitally …