Mining Large-Scale Music Data Sets
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1 Mining Large-Scale Music Data Sets Dan Ellis & Thierry Bertin-Mahieux Laboratory for Recognition and Organization of Speech and Audio Dept. Electrical Eng., Columbia Univ., NY USA 1. Music Audio Representations 2. The Million Song Dataset 3. Finding Similar Items (Cover Songs) 4. Current Work LabROSA Overview - Dan Ellis /15
2 Query track The Problem One Million Songs Frequency Time Similar tracks 4000 Frequency Time Frequency Frequency Time Time LabROSA Overview - Dan Ellis /15
3 1. Music Audio Representations We need a description of the audio that contains suitable detail Speech Recognition uses Mel-Frequency Cepstral Coefficients (MFCCs) Let It Be (LIB-1) - log-freq specgram MFCCs Coefficient Noise excited MFCC resynthesis (LIB-2) time / sec LabROSA Overview - Dan Ellis /15
4 Chroma Features We d like to preserve the notes at least within one octave Warren et al Let It Be - log-freq specgram (LIB-1) chroma bin B A G E D C Chroma features Shepard tone resynthesis of chroma (LIB-3) MFCC-filtered shepard tones (LIB-4) time / sec LabROSA Overview - Dan Ellis /15
5 Beat-Synchronous Chroma Perform Beat Tracking.. and record one chroma vector per beat compact representation of harmonies Let It Be - log-freq specgram (LIB-1) Onset envelope + beat times chroma bin B A G E D C Beat-synchronous chroma Beat-synchronous chroma + Shepard resynthesis (LIB-6) time / sec LabROSA Overview - Dan Ellis /15
6 2. Million Song Dataset (MSD) Commercial-scale dataset available to MIR researchers 1M pop songs 250 GB of features (6 years of listening) Thierry Bertin-Mahieux Many facets: Features, Lyrics, Tags, Covers, Listeners... LabROSA Overview - Dan Ellis /15
7 MSD Audio Features Use Echo Nest Analyze features segment audio into variable-length events represent by 12 chroma + 12 timbre supports a crude resynthesis: B A G E D C TRKUYPW128F92E1FC0 - Tori Amos - Smells Like Teen Spirit Origina EN Featur Resyn time / sec 14 LabROSA Overview - Dan Ellis /15
8 MSD Metadata EN Metadata artist: 'Tori Amos' release: 'LIVE AT MONTREUX' title: 'Smells Like Teen Spirit' id: 'TRKUYPW128F92E1FC0' key: 5 mode: 0 loudness: tempo: time_signature: 4 duration: sample_rate: audio_md5: '8' 7digitalid: familiarity: year: 1992 SHS Covers %5489,4468, Smells Like Teen Spirit TRTUOVJ128E078EE10 Nirvana TRFZJOZ128F4263BE3 Weird Al Yankovic TRJHCKN12903CDD274 Pleasure Beach TRELTOJ128F42748B7 The Flying Pickets TRJKBXL128F92F994D Rhythms Del Mundo feat. Shanade TRIHLAW128F429BBF8 The Bad Plus TRKUYPW128F92E1FC0 Tori Amos Last.fm Tags cover 57.0 covers 43.0 female vocalists 42.0 piano 34.0 alternative 14.0 singer-songwriter 11.0 acoustic 8.0 tori amos 7.0 beautiful 6.0 rock 6.0 pop 6.0 Nirvana 6.0 female vocalist s 5.0 out of genre covers 12 hello 11 i 10 a 9 and 7 it 6 are 6 we 6 now 5.0 cover songs 4.0 soft rock 4.0 nirvana cover 4.0 Mellow 4.0 alternative rock 3.0 chick rock 3.0 Ballad 3.0 Awesome Covers 2.0 melancholic 2.0 k00l ch1x 2.0 indie 2.0 female vocalistist 2.0 female 2.0 cover song 2.0 american MxM Lyric Bag-of-Words 6 here 6 us 6 entertain 4 the 4 feel 4 yeah 3 to 3 my 3 is 3 with 3 oh 3 out 3 an 3 light 3 less 3 danger LabROSA Overview - Dan Ellis /15
9 3. Finding Similar Items If it s really the same, we can use fingerprinting (e.g. Shazam): Avery Wang Query audio find local landmarks quantize by pairs inverted index Match: 05 Full Circle at sec time / sec LabROSA Overview - Dan Ellis /15
10 Dynamic Programming Alignment Serra, Gomez et al. 08 We can match the chroma representations by DP alignment robust to timing changes quite efficient best performer in MIREX Cover Song evaluations LabROSA Overview - Dan Ellis /15
11 Large-Scale Cover Matching Bertin-Mahieux & Ellis 11 How can we find covers in 1M 1 sec / comparison, one search = 11.5 CPU-days full N 2 mining = 16,000 CPU-years Hashing? landmarks from chroma patches (like Shazam) represent item by distribution of contour fragments one stage in a filtering hierarchy... LabROSA Overview - Dan Ellis /15
12 Euclidean Cover Matching Ellis & Poliner 08 Bertin-Mahieux & Ellis 12 Reduce cover matching to nearest-neighbor search in fixed-size beat-chroma patches Right distance? principal components learned weightings Alignment/ segmentation? music segmentation multiple probes framing-insensitive representation chroma bin Between the Bars Elliot Smith pwr Between the Bars Glenn Phillips pwr beats trsp pointwise product (sum(12x300) = 19.34) time / beats LabROSA Overview - Dan Ellis /15
13 4. Other Work: Pattern Mining Cluster beat-synchronous chroma patches chroma bins G F D C A G F D C A G F D C A G F D C A # instances # instances # instances # instances # instances # instances # instances a20-top10x5-cp4-4p0 # instances time / beats LabROSA Overview - Dan Ellis /15
14 Other Work: MSD Challenge Using Taste Profile data User-Song-playcount with Brian McFee b80344d063b5ccb3212f76538f3d9e43d87dca9e SOAKIMP12A8C b80344d063b5ccb3212f76538f3d9e43d87dca9e SOAPDEY12A81C210A9 1 b80344d063b5ccb3212f76538f3d9e43d87dca9e SOBBMDR12A8C13253B 2 b80344d063b5ccb3212f76538f3d9e43d87dca9e SOCNMUH12A6D4F6E6D 1 b80344d063b5ccb3212f76538f3d9e43d87dca9e SODACBL12A8C13C273 1 b80344d063b5ccb3212f76538f3d9e43d87dca9e SODDNQT12A6D4F5F7E 5 Challenge: Rank 1M songs to complete half a playlist using audio, metadata, lyrics, whatever Kaggle.com based contest self-service evaluation, leader board Results at MIREX, AdMIRe LabROSA Overview - Dan Ellis /15
15 Summary Finding Musical Similarity at Large Scale Beat Chroma Representation Million Song Dataset MSD Challenge LabROSA Overview - Dan Ellis /15
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