ECG arrhythmia classification by using a recurrence plot and convolutional neural network

BM Mathunjwa, YT Lin, CH Lin, MF Abbod… - … Signal Processing and …, 2021 - Elsevier
Cardiovascular diseases affect approximately 50 million people worldwide; thus, heart
disease prevention is one of the most important tasks of any health care system. Despite the …

[KİTAP][B] Some commonly used speech feature extraction algorithms

SA Alim, NKA Rashid - 2018 - books.google.com
Speech is a complex naturally acquired human motor ability. It is characterized in adults with
the production of about 14 different sounds per second via the harmonized actions of …

Time series classification using compression distance of recurrence plots

DF Silva, VMA De Souza… - 2013 IEEE 13th …, 2013 - ieeexplore.ieee.org
There is a huge increase of interest for time series methods and techniques. Virtually every
piece of information collected from human, natural, and biological processes is susceptible …

Applying machine learning and audio analysis techniques to insect recognition in intelligent traps

DF Silva, VMA De Souza, GE Batista… - … on machine learning …, 2013 - ieeexplore.ieee.org
Throughout the history, insects have had an intimate relationship with humanity, both
positive and negative. Insects are vectors of diseases that kill millions of people every year …

Investigation Amazigh speech recognition using CMU tools

H Satori, F ElHaoussi - International Journal of Speech Technology, 2014 - Springer
The aim of this paper is to describe the development of a speaker-independent continuous
automatic Amazigh speech recognition system. The designed system is based on the …

Classification of data streams applied to insect recognition: Initial results

VMA de Souza, DF Silva… - 2013 Brazilian conference …, 2013 - ieeexplore.ieee.org
Applications such as intelligent sensors should be able to collect information about the
environment and make decisions based on input data. An example is a low-cost sensor able …

Swahili speech dataset development and improved pre-training method for spoken digit recognition

AR Kivaisi, Q Zhao, JT Mbelwa - ACM Transactions on Asian and Low …, 2023 - dl.acm.org
Speech dataset is an essential component in building commercial speech applications.
However, low-resource languages such as Swahili lack such a resource that is vital for …

Design and implementation of fast spoken foul language recognition with different end-to-end deep neural network architectures

AS Ba Wazir, HA Karim, MHL Abdullah, N AlDahoul… - Sensors, 2021 - mdpi.com
Given the excessive foul language identified in audio and video files and the detrimental
consequences to an individual's character and behaviour, content censorship is crucial to …

Deep Learning‐Based Classification of Spoken English Digits

J Oruh, S Viriri - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Classification of isolated digits is the basic challenge for many speech classification
systems. While a lot of work has been carried out on spoken languages, only limited …

Automatic classification of drum sounds with indefinite pitch

VMA Souza, GE Batista… - 2015 International Joint …, 2015 - ieeexplore.ieee.org
Automatic classification of musical instruments is an important task for music transcription as
well as for professionals such as audio designers, engineers and musicians. Unfortunately …