Introduction to Music Information Retrieval (MIR)

Slides:



Advertisements
Similar presentations
DBRG - CWIMusical Feature Detection in ACOI Musical Feature Detection Anton Eliens (work in progress)
Advertisements

Dynamic Time Warping (DTW)
Speaker Associate Professor Ning-Han Liu. What’s MIR  Music information retrieval (MIR) is the interdisciplinary science of retrieving information from.
Onset Detection in Audio Music J.-S Roger Jang ( 張智星 ) MIR LabMIR Lab, CSIE Dept. National Taiwan University.
DEVON BRYANT CS 525 SEMESTER PROJECT Audio Signal MIDI Transcription.
CA1008 Genres and Classifications Piyawadee P sec.402.
= The cacophonies Chia-tung Chen (Drums) Feihong Wang (Keyboard) Luis Francisco-Revilla (Vocals) Gaurav Maini (Guitar)
The Chinese University of Hong Kong Department of Computer Science and Engineering Lyu0202 Advanced Audio Information Retrieval System.
Enhancing discovery of the British Library’s audio collections Richard Ranft 23 June 2014 Making Metadata Work ISKO UK + IRSG + DCMI joint meeting.
GCT731 Fall 2014 Topics in Music Technology - Music Information Retrieval Introduction to MIR Course Overview 1.
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING MARCH 2010 Lan-Ying Yeh
Exploring a million hours of sounds Richard Ranft, The British Library 27 November 2014 Search Solutions 2014.
Sound Applications Advanced Multimedia Tamara Berg.
NM7613: Music Signal Analysis and Retrieval 音樂訊號分析與檢索 Jyh-Shing Roger Jang ( 張智星 ) CSIE Dept, National Taiwan University.
2015/9/111 Introduction to ISMIR/MIREX J.-S. Roger Jang (張智星) Multimedia Information Retrieval (MIR) Lab CSIE Dept, National Taiwan Univ.
Contactforum: Digitale bibliotheken voor muziek. 3/6/2005 Real music libraries in the virtual future: for an integrated view of music and music information.
August 12, 2004IAML - IASA 2004 Congress, Olso1 Music Information Retrieval, or how to search for (and maybe find) music and do away with incipits Michael.
Music Information Retrieval -or- how to search for (and maybe find) music and do away with incipits Michael Fingerhut Multimedia Library and Engineering.
Professional Development for Media and Technology Instructions on inserting meta data into your MP3 files via Windows. By Soundzabound Royalty Free Music.
Audio and Video Chris McConnell Department of Radio-TV-Film November 30, 2006.
Aspects of Music Information Retrieval Will Meurer School of Information University of Texas.
Music Intelligence. What it is It is ability to think in pattern, rhythms and sound It is ability to appreciate the music It is ability to compose different.
2015/10/221 Progressive Filtering and Its Application for Query-by-Singing/Humming J.-S. Roger Jang ( 張智星 ) Multimedia Information Retrieval Lab CS Dept.,
ENOMA - European Network of Online Musical Archives ENOMA Workshop – The Grieg Academy, UiB 26 May 2006 Leif Arne Rønningen and Lars Erik Løvhaug NTNU.
Demos for QBSH J.-S. Roger Jang ( 張智星 ) CSIE Dept, National Taiwan University.
Music Information Retrieval Information Universe Seongmin Lim Dept. of Industrial Engineering Seoul National University.
Polyphonic Transcription Bruno Angeles McGill University - Schulich School of Music MUMT-621 Fall /14.
2016/6/41 Recent Improvement Over QBSH and AFP J.-S. Roger Jang (張智星) Multimedia Information Retrieval (MIR) Lab CSIE Dept, National Taiwan Univ.
GarageBand Jessica Moidel Intro to Music Technology Final Presentation April 21, 2009.
Creating Music Text, Rhythm, and Pitch Combined to Compose a Song.
RuSSIR 2013 QBSH and AFP as Two Successful Paradigms of Music Information Retrieval Jyh-Shing Roger Jang ( 張智星 ) MIR Lab, CSIE Dept.
Binary Search Jyh-Shing Roger Jang ( 張智星 ) CSIE Dept, National Taiwan University.
How to be a Good Web 2.0 Citizen 10 Tricks & Tips to Improve Your Social Networking By Jennifer L. Bowie.
MMDB-8 J. Teuhola Audio databases About digital audio: Advent of digital audio CD in Order of magnitude improvement in overall sound quality.
QBSH Corpus The QBSH corpus provided by Roger Jang [1] consists of recordings of children’s songs from students taking the course “Audio Signal Processing.
Musical / Rhythmic Intelligence A. K. A. Music Smart!
Content-Based MP3 Information Retrieval Chueh-Chih Liu Department of Accounting Information Systems Chihlee Institute of Technology 2005/06/16.
Some Research Activities in MIR Lab J.-S. Roger Jang ( 張智星 ) Multimedia Information Retrieval Lab CS.
1 Hidden Markov Model: Overview and Applications in MIR MUMT 611, March 2005 Paul Kolesnik MUMT 611, March 2005 Paul Kolesnik.
Statistical techniques for video analysis and searching chapter Anton Korotygin.
Discussions on Audio Melody Extraction (AME) J.-S. Roger Jang ( 張智星 ) MIR Lab, CSIE Dept. National Taiwan University.
Simulation of Stock Trading J.-S. Roger Jang ( 張智星 ) MIR Lab, CSIE Dept. National Taiwan University.
Ground Bass Harmony 1 Harmony 2 Drums Drums Ostinato Ostinato Melody Counter Melody Broken Chords Broken Chords Silence.
Linear Classifiers (LC) J.-S. Roger Jang ( 張智星 ) MIR Lab, CSIE Dept. National Taiwan University.
How To Listen To Music. What Makes Good Music…? What Is Music…? –What Music Do You Enjoy…? WHY??? LISTEN… –What do you think of these 3 pieces of music…?
Introduction to Music Information Retrieval (MIR)
Computer-Generated Sound Final Project
Introduction to ISMIR/MIREX
Onset Detection, Tempo Estimation, and Beat Tracking
Search in Google's N-grams
The Greek Audio Dataset
Intro. to Audio Signals Jyh-Shing Roger Jang (張智星)
MIR Lab: R&D Foci and Demos ( MIR實驗室:研發重點及展示)
Query by Singing/Humming via Dynamic Programming
Introduction to Pattern Recognition
Singing Voice Separation via Active Noise Cancellation 使用主動式雜訊消除於歌聲分離
自我介紹 學歷: 研究方向: 經歷: 1984:學士,台大電機系 1992:博士,加州大學柏克萊分校、電機電腦系
Closing Remarks on MSAR-2017
Intro. to Audio Signals Jyh-Shing Roger Jang (張智星)
Introduction to Music Information Retrieval (MIR)
Aspects of Music Information Retrieval
Intro. to Audio Signals Jyh-Shing Roger Jang (張智星)
Intro to Machine Learning
Music Computer & New Media.
National Taiwan University
The Blues.
Query by Singing/Humming via Dynamic Programming
Game Trees and Minimax Algorithm
Duration & Pitch Modification via WSOLA
Music Signal Processing
Presentation transcript:

Introduction to Music Information Retrieval (MIR) J.-S. Roger Jang (張智星) MIR Lab, CSIE Dept., National Taiwan Univ. http://mirlab.org/jang 2018/11/19

How to Search for a Song? Content-based search Melody Mood Genre Instrument Chords Cover songs 青山ミチ 風吹く丘で(亜麻色の髪の乙女) 島谷ひとみ / 亜麻色の髪の乙女 翻唱歌 口水歌

Types of Media for Search in MIR Quiz! Metadata-based texts  Easier Song title, artist, tags, composer, … Query inputs: text or speech Content-based info  Harder Melody, lyrics, mood, genre, chord, instruments, … Query inputs: Symbolic: notes, chord, text, … Acoustic: singing, humming, whistling, tapping, speech, recording of exact example, beatboxing… Content-based music information retrieval

Types of Acoustic Inputs for MIR Quiz! Singing/humming Query by humming (usually “ta” or “da”) Query by singing Whistling Query by whistling Normal whistle Wolf whistle Hand whistle Fingerless whistle Leaf whistle Tapping Query by tapping (at the onsets of notes) Speech Query by speech (for lyrics or meta-data) Exact but noisy example Query by example (noisy version of original clips) Beatboxing Quiz!

Types of Contents for Comparison Melody Query by humming Query by singing Query by whistling Note onsets Query by tapping (at the onsets of notes) Quiz! Metadata Query by speech Audio contents Query by examples (noisy versions of original clips) Drum patterns Query by beatboxing

Demos MIR Lab: R&D Foci and Demos

Ultimate Challenges in MIR Singing voice separation Audio melody extraction Cover song identification Automatic music transcription MP3 to MIDI conversion Approaches Deep neural networks with domain-knowledge embedding

Thank you for listening! Questions or comments?