Audio feature extraction: Foreground and Background audio separation using KNN algorithm

Pankaj Ramakant Kunekar, Koushal Sunil Sadavarte *, Prajwal Rajshekhar Khambad, Rohan Baban Lokhande and Manasi Babusha Kharat

Vishwakarma Institute of Technology, Pune, 411037, Maharashtra, India.
 
Review
International Journal of Science and Research Archive, 2023, 09(01), 269–276.
Article DOI: 10.30574/ijsra.2023.9.1.0392
Publication history: 
Received on 09 April 2023; revised on 25 May 2023; accepted on 27 May 2023
 
Abstract: 
Data Science is a fairly novel field, and it predominantly deals with analysis and assortment of data. Machine Learning is a field that goes hand in hand in this regard. Various Algorithms, which are trained on a dataset predict results based on their training, and thus the accuracy of a model is determined by the testing dataset. Foreground feature extraction is another interesting application. Using data visualization and processing, we can plot the graphs for the audio frequency and intensity. This proves useful in feature extraction using MFCC (Mel-frequency cepstral coefficients).
 
Keywords: 
Data Science; Feature Extraction; Librosa; Machine Learning; Python
 
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