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 …
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 …
the production of about 14 different sounds per second via the harmonized actions of …
Time series classification using compression distance of recurrence plots
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 …
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
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 …
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 …
automatic Amazigh speech recognition system. The designed system is based on the …
Classification of data streams applied to insect recognition: Initial results
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 …
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
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 …
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
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 …
consequences to an individual's character and behaviour, content censorship is crucial to …
Deep Learning‐Based Classification of Spoken English Digits
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 …
systems. While a lot of work has been carried out on spoken languages, only limited …
Automatic classification of drum sounds with indefinite pitch
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 …
well as for professionals such as audio designers, engineers and musicians. Unfortunately …