CLUSTERING MUSIC RECORDINGS BY THEIR KEYSArun Shenoy Ye Wang

Source URL: www.smcnus.org

• Music
• Information science
• Cluster analysis
• Data mining
• Geostatistics
• Chroma
• Tone cluster
• Pitch class
• Hierarchical clustering
• Consensus clustering

MSDS-CHROMA TEMP TEMPERA.qxd

Source URL: www.loew-cornell.com

• Household chemicals
• Excipients
• Commodity chemicals
• Propylene glycol
• Surfactant

A SUPERVISED APPROACH FOR DETECTING BOUNDARIES IN MUSIC USING DIFFERENCE FEATURES AND BOOSTING Douglas Turnbull1 , Gert Lanckriet2 Computer Science & Engineering1 Electrical & Computer Engineering2 University of Californ

Source URL: eceweb.ucsd.edu

• Music information retrieval
• Machine learning
• Timefrequency analysis
• Statistical classification
• Chroma feature
• Music technology
• Image segmentation
• Mel-frequency cepstrum
• AdaBoost
• Linear classifier
• Supervised learning
• Diff utility

Draft: VP Codec ISO Media File Format Binding Kilroy Hughes and David RoncaIntroduction

Source URL: storage.googleapis.com

• Video
• Digital media
• Digital television
• Media technology
• High-definition television
• Color space
• Videotelephony
• Image compression
• Video codec
• Chroma subsampling
• Rec. 601
• Rec.

[ ] CHROMA TYPE 301 DISPLAY-12

Source URL: www.kochmesser.de

White Paper An Evaluator’s Guide to Understanding the Newly Approved H.265/HEVC Range Extensions and Profiles By Raul Diaz, Vanguard Video CEO

Source URL: vanguardvideo.com

• Video
• Videotelephony
• Data compression
• Video compression
• ISO standards
• Computing
• High-definition television
• Computer file formats
• High Efficiency Video Coding
• H.264/MPEG-4 AVC
• High Efficiency Video Coding implementations and products
• Chroma subsampling

PROC. OF THE 14th PYTHON IN SCIENCE CONF. (SCIPYlibrosa: Audio and Music Signal Analysis in Python Brian McFee¶k∗ , Colin Raffel§ , Dawen Liang§ , Daniel P.W. Ellis§ , Matt McVicar‡ , Eric Battenberg∗

Source URL: bmcfee.github.io

• Timefrequency analysis
• Signal processing
• Music information retrieval
• Digital signal processing
• Fourier analysis
• Spectrogram
• Short-time Fourier transform
• Audio time-scale/pitch modification
• Chroma feature
• Transcription
• Timbre
• Deep learning

PROC. OF THE 14th PYTHON IN SCIENCE CONF. (SCIPYlibrosa: Audio and Music Signal Analysis in Python Brian McFee¶k∗ , Colin Raffel§ , Dawen Liang§ , Daniel P.W. Ellis§ , Matt McVicar‡ , Eric Battenberg∗

Source URL: colinraffel.com

• Signal processing
• Timefrequency analysis
• Sound
• Electrical engineering
• Music information retrieval
• Digital signal processing
• Fourier analysis
• Short-time Fourier transform
• Spectrogram
• Audio time-scale/pitch modification
• Chroma feature
• Transcription

12th International Society for Music Information Retrieval Conference (ISMIRCHROMA TOOLBOX: MATLAB IMPLEMENTATIONS FOR EXTRACTING VARIANTS OF CHROMA-BASED AUDIO FEATURES ¨ Meinard Muller

Source URL: ismir2011.ismir.net

96 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 7, NO. 1, FEBRUARY 2005 Audio Thumbnailing of Popular Music Using Chroma-Based Representations

Source URL: musicweb.ucsd.edu