International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
AUDIO CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK WITH DENOISING ALGORITHM (INTELLIGENT MUSIC PLAYER) M.Aishwarya1, R.Nadhiya2, M.S.Nandhini3, R.Krishnaveni4 123Student,
Dept Of Electronics And Communication Engineering, Panimalar Institute Of Technology, Tamilnadu, India. 4Assistant professor, Dept Of Electronics And Communication Engineering , Panimalar Institute Of Technology, Tamilnadu, India. ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Customizable software application are in trend
intelligent Music player which can categorize the playlist based on the beat levels of the Audio file . To develop a Music Jockey plugin to play the music file in a mixed mode with that noise filtering is also done to get a quality music.
of the state of art technologies . This project work integrates a audio filter training algorithm into a windows platform music player and embeds into a single software application. A Matlab based audio filter will be developed to analyze the Histogram of the input music file and predict the nature of the input audio. The main categorization list will be Beat, melody & speech audio, it will enhance the user experience by matching the music database with their mind swings. A Music player GUI framework will be designed to adapt the conventional and proposed music player functionalities. With addition to that a Music Jockey plugin will be developed to play the music in a mixed mode format and noise filtering will also be done.
2.BLOCK DIAGRAM:
Key Words: GUI, ANN(Artificial neural network), back propogation, DSP toolbox, DJ plugin, Noise filter. 1. INTRODUCTION: Music players are a simple kind of stress busters, Range of a music player cost from 2000-36000 rupees. Due to market demand and competitions various Audio enhancing methods & plugins are introduced day to day(Aero, Dolby atmos, Surround 3D etc...).The enhancement can be a hardware placement or a software processing algorithms like (Noise filters, Equalizers etc…).Various Audio processing algorithms are available to find and extract a particular audio frequency components, which later adopted as speech recognition engine. Enchancing user experience is the atmost goal for every software product. These enhancements has not been widely updated in music player the major update for music player is to enhance the audio player. There are many audio players but all these players can simply play the song and they may shuffle the songs .This project work attempts to create a intelligent music player using artificial neural network. To develop and analyze a DSP algorithm to find the beat nature and type of a audio content. To develop a Neural Network based
© 2017, IRJET
|
Impact Factor value: 5.181
Fig.2:Block diagram of intelligent music player
3.MODULE DESCRIPTION: 3.1.GUI FRAMEWORK DESIGN: MATLAB having graphics user interface developing platform with customizable widgets for interactive front end design. GUI toolbox can be initiated by typing a GUIDE command in the command window.Every widget having its own callback for ‘focus’, ‘click’, ‘button press’’ etc…
|
ISO 9001:2008 Certified Journal
|
Page 2437