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Introduction to speech recognitionSpeech recognition is an interdisciplinary subject. In the past two decades, speech recognition
Advanced Data Recognition Technique for Real-Time Sand Monitoring Systems (Kazan, Russia). The database consisted of acoustics signals from sand particles impacting on the inside
Alu RNA regulates the cellular pool of active ribosomes by targeted delivery of SRP9/14 to 40S subunitssignal recognition particle
Visual cognitive control of space systems radiotechnical signals contribution of the feature to the quality of signal type recognition. The construction of cognitive images
Features of the application of coherent noise suppression methods in the digital holography of particles to provide a quality of particle image boundary suitable for particle recognition. In the case of multiple
Speech emotion recognition using SVM classifier with suprasegmental MFCC featuresThis study explores speech emotion recognition
(SER) using mel-frequency cepstral
The use of pitch in Large-Vocabulary Continuous Speech Recognition SystemIn this article the authors normalize the speech signal based on the publicly available AN4
Neurotransmitters Level Detection Based on Human Bio-Signals, Measured in Virtual Environments emotion by measuring the human bio-signals: heart rate, electroencephalogram (EEG), blood volume pressure
Human physical activity recognition algorithm based on smartphone data and convolutional neural network further researches on the recognition of human activities based on their biomedical signals.
A new approach of recognition of ellipsoidal micro- and nanoparticles on AFM images and determination of their sizes© 2016 IOP Publishing Ltd.In this work we develop an approach of automatic recognition
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