Disassertion Report

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Disasssertion report

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  • 1

    Method & System for generation of music player recommendation

    BITS ZG628T: Mid Semester Report

    By

    Mohit Tanwar

    ID No. 2013HT12298

    Dissertation work to be carried out at

    Samsung Research Institute, Delhi

    Submitted in partial fulfillment of

    M.TECH. Software Systems degree program

    Under the Supervision of

    Pradeep Singh Panwar, Domain Lead, Media Solution Center, South West Asia

    Samsung Research Institute, Delhi

    BIRLA INSTITUTE OF TECHNOLOGY & SCIENCE

    PILANI (RAJASTHAN)

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    Birla Institute of Technology & Science, Pilani

    Work-Integrated Learning Programmes Division

    Second Semester 2014-2015

    BITS ZG628T: Mid Semester Report

    Details of Work Done:

    Task 1:

    Identification of Music/Song Parameters i.e. Metadata Identification related to

    Music / Song / Audio MP3 file

    Songs / Audio MP3 files can be downloaded from Applications like Wynk/Gaana/Saavn.

    Reason for downloading Audio MP3 files from these applications is that these are white

    label applications which have direct contracts with Studios like T-Series, Sony Music, Zee

    Music Entertainment etc. Metadata tags provided by each MP3 are rich and full of data,

    which can be used for extraction of meaningful data from these metadata.

    Metadata provided by each application

    1. Song Name

    2. Album Name

    3. Singer(s) Name(s)

    4. Label Name

    5. Music Director

    6. Lyricist(s)

    7. Cast (Actors)

    8. Song Duration (MM:SS)

    9. Album Duration (MM:SS)

    10. Song / Album Image Artwork

    11. Genre

    12. Mood

    Examples

    Song

    Name

    Album

    Name

    Singers Label Music

    Director

    Lyricist Cast Song

    Duration

    Manali

    Trance

    The

    Shaukeens

    Yo Yo

    Honey

    Singh

    Neha

    Kakkar

    Zee

    Music

    Yo Yo

    Honey

    Singh

    Sahil

    Kaushal

    Akshay

    Kumar

    3:23

    Touch My

    Body

    Alone Aditi

    Singh

    Sharma

    T-

    Series

    Raghav

    Sachar

    Kumaar Bipasha

    Basu

    3:46

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    Now how can we obtain this data and store them. Well, there are many ways, but I

    followed two ways.

    1. Extraction of ID3 Tags from Downloaded Songs

    2. Manually collect data for those audio mp3 whos ID3 Tags are not present.

    ID3 Tags:

    ID3 is a metadata container which is embedded with the MP3 audio file format. It has

    information about song like title, artist, album, track number etc.

    Extraction of these tags can be done using LINUX command line tool eyeD3.

    MySQL Database:

    In order to store these metadata, I have created simple Database with these tables.

    Table1: Song Detail

    Table2: Album

    Table3: Artist

    Table4: Genre

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    TASK 2:

    Server application to provide REST APIs to access Songs Metadata and audio

    file streaming.

    Machine & Software Specifications:

    CPU: Intel i3

    RAM: 2GB

    OS: Ubuntu 14.04 LTS

    Java JDK 1.7

    Apache Tomcat 7.0

    MySQL

    Spring 4.1

    High Level APIs

    1. GET /getSongsList

    2. GET /song/{songId}

    3. GET /artist/{artistId}

    4. GET /album/{albumId}

    5. GET /play/{url}

    6. PUT /event/{type}

    Developments of REST APIs are in progress.

    TASK 3:

    Android Application development for the following:

    1. Render Songs List

    2. Show Song Detail

    3. Play Song i.e. Music Player

    4. Show Artist

    5. Show Album

    6. Provide User Events

    A development of Android Application is also in progress.

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    Plan of work :

    Date Work Plan Status

    15-01-2015 to 15-02-2015

    Identify music parameters e.g. ID3 Tags, Genre,

    Moods etc.

    Design Server Application. Design Database for storing data.

    Design Android application

    DONE

    16-02-2015 to 16-03-2015

    Develop Server Application

    Develop Android Application Analysis of data captured from an application and

    implement cleaning and preprocessing algorithms.

    Implement hypothetical model for algorithm/

    solution to generate recommendations

    IN PROGRESS

    17-03-2015 to 30-03-2015

    Perform test on recommendation generation and

    correction of errors generated during the test run.

    PLANNED

    References:

    1. http://www.gaana.com/

    2. http://www.saavn.com/ 3. http://get.wynk.in/

    4. http://en.wikipedia.org/wiki/ID3 5. https://spring.io/guides/gs/rest-service/

    6. http://developer.android.com/index.html

    http://www.gaana.com/http://www.saavn.com/http://get.wynk.in/http://en.wikipedia.org/wiki/ID3https://spring.io/guides/gs/rest-service/http://developer.android.com/index.html

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