Mel frequency cepstral coefficient and its applications: A review

ZK Abdul, AK Al-Talabani - IEEE Access, 2022 - ieeexplore.ieee.org
Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

ASRoIL: a comprehensive survey for automatic speech recognition of Indian languages

A Singh, V Kadyan, M Kumar, N Bassan - Artificial Intelligence Review, 2020 - Springer
India is the land of language diversity with 22 major languages having more than 720
dialects, written in 13 different scripts. Out of 22, Hindi, Bengali, Punjabi is ranked 3rd, 7th …

Nocturnal cough and snore detection in noisy environments using smartphone-microphones

S Vhaduri, T Van Kessel, B Ko, D Wood… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
The reporting on nocturnal sounds like cough and snore is not only relevant to follow the
progress of respiratory diseases of patients but also to assess the quality of sleep of …

Environment knowledge-driven generic models to detect coughs from audio recordings

S Vhaduri, SV Dibbo, Y Kim - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Goal: Millions of people are dying due to respiratory diseases, such as COVID-19 and
asthma, which are often characterized by some common symptoms, including coughing …

A hybrid meta-heuristic feature selection method for identification of Indian spoken languages from audio signals

A Das, S Guha, PK Singh, A Ahmadian, N Senu… - IEEE …, 2020 - ieeexplore.ieee.org
With the recent advancements in the fields of machine learning and artificial intelligence,
spoken language identification-based applications have been increasing in terms of the …

Surface roughness diagnosis in hard turning using acoustic signals and support vector machine: A PCA-based approach

PJ Papandrea, EP Frigieri, PR Maia, LG Oliveira… - Applied Acoustics, 2020 - Elsevier
During the last years, notable efforts have been made to develop reliable and industrially
applicable machining monitoring systems based on different types of sensors, especially …

Theory and Application of Audio‐Based Assessment of Cough

Y Shi, H Liu, Y Wang, M Cai, W Xu - Journal of Sensors, 2018 - Wiley Online Library
Cough is a common symptom of many respiratory diseases. Many medical literatures
underline that a system for the automatic, objective, and reliable detection of cough events is …

Nocturnal cough and snore detection using smartphones in presence of multiple background-noises

S Vhaduri - Proceedings of the 3rd ACM SIGCAS Conference on …, 2020 - dl.acm.org
Non-speech human sounds, such as coughs and snores, and their patterns are associated
with different respiratory diseases, including asthma, chronic obstructive pulmonary disease …

Classifying infant cry patterns by the genetic selection of a fuzzy model

A Rosales-Pérez, CA Reyes-García… - … Signal Processing and …, 2015 - Elsevier
Infant crying analysis is an important tool for identifying different pathologies at a very early
stage of the life of a baby. Being able to perform this task with high accuracy is therefore …

A lazy learning-based language identification from speech using MFCC-2 features

H Mukherjee, SM Obaidullah, KC Santosh… - International Journal of …, 2020 - Springer
Develo** an automatic speech recognition system for multilingual countries like India is a
challenging task due to the fact that the people are inured to using multiple languages while …