Abstract: A key a part of early analysis and treatment of neurological illnesses is the detection of anomalies inside the mind through ultrasound scans. Using a Signal Processing Network (SPN), this ...

Given a set of components and an optional set of statistics to apply to the time-varying components, extract them using Python. You can create a custom .yaml config in order to extract specific ...

The application of artificial intelligence (AI) algorithms is an indispensable portion of developing brain-computer interfaces (BCI). With the continuous development of AI concepts and related ...

It is our pleasure to introduce the Research Topic on advances in noise reduction and feature extraction of acoustic signals in Frontiers in physics. Acoustic signal processing and its analysis is one ...

feature_extraction_functions.py: a set of feature extraction functions from RDShi-SpeakerCount. MFCC: Mel-frequency cepstral coefficients calculation. MFCC.py ...

Abstract: Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital ...

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...

Motivation: Hand amputations can dramatically affect the quality of life of a person. Researchers are developing surface electromyography and machine learning solutions to control dexterous and ...