首页|New Machine Learning Research Reported from KIIT Deemed to be University (Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques)
New Machine Learning Research Reported from KIIT Deemed to be University (Comparative analysis of audio classification with MFCC and STFT features using machine learning techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial intelligence have been published. According tonews reporting out of KIIT Deemed to be University by NewsRx editors, research stated, “In the era ofautomated and digitalized information, advanced computer applications deal with a major part of thedata that comprises audio-related information. Advancements in technology have ushered in a new erawhere cutting-edge devices can deliver comprehensive insights into audio content, leveraging sophisticatedalgorithms such such as Mel Frequency Cepstral Coefficients (MFCCs) and Short-Time Fourier Transform(STFT) to extract and provide pertinent information.”
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