A review of physical and perceptual feature extraction techniques for speech, music and environmental sounds
Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …
quest in engineering and computer science. In the pursuit of making computers sense their …
A survey of audio-based music classification and annotation
Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …
attention from both the research community and music industry. It addresses the problem of …
Trends in audio signal feature extraction methods
G Sharma, K Umapathy, S Krishnan - Applied Acoustics, 2020 - Elsevier
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
[图书][B] Recommender systems: an introduction
In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …
what to buy, how to spend their leisure time, and even whom to date. Recommender …
[图书][B] Introduction to audio analysis: a MATLAB® approach
T Giannakopoulos, A Pikrakis - 2014 - books.google.com
Introduction to Audio Analysis serves as a standalone introduction to audio analysis,
providing theoretical background to many state-of-the-art techniques. It covers the essential …
providing theoretical background to many state-of-the-art techniques. It covers the essential …
Bmnet-5: A novel approach of neural network to classify the genre of bengali music based on audio features
Music genre classification (MGC) is the process of putting genre labels on music by
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
analyzing the sounds or words. With the rapid growth of music data repositories, MGC can …
Neural network music genre classification
N Pelchat, CM Gelowitz - Canadian Journal of Electrical and …, 2020 - ieeexplore.ieee.org
Music genre classification utilizing neural networks (NNs) has achieved some limited
success in recent years. Differences in song libraries, machine learning techniques, input …
success in recent years. Differences in song libraries, machine learning techniques, input …
Features for content-based audio retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …
as automatic speech recognition, music information retrieval, audio segmentation, and …
Do you hear what i hear? fingerprinting smart devices through embedded acoustic components
The widespread use of smart devices gives rise to privacy concerns. Fingerprinting smart
devices can jeopardize privacy by allowing remote identification without user awareness …
devices can jeopardize privacy by allowing remote identification without user awareness …
Music genre classification and music recommendation by using deep learning
Today, music is a very important and perhaps inseparable part of people's daily life. There
are many genres of music and these genres are different from each other, resulting in …
are many genres of music and these genres are different from each other, resulting in …