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Keyword: Audio source separationOpen AccessArticle
16 Pages, 1,654 KB 
Machine Learning Algorithms for Real Time Blind Audio Source Separation with Natural Language Detection
Abstract:
The Conv-TasNet and Demucs algorithms, can differentiate between two mixed signals, such as music and speech, the mixing operation proceed without any support information. The network of convolutional time-domain audio separations is used in Conv-TasNet algorithm, while there is a new waveform-to-waveform model in Demucs algorithm. The Demucs algorithm utilizes a procedure like the audio…
Read More(This article belongs to the SP11 (Special Issue on Innovation in Computing, Engineering Science & Technology 2021) & Section Artificial Intelligence in Computer Science (CAI))