{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T10:14:25Z","timestamp":1769854465685,"version":"3.49.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/icassp.2018.8461439","type":"proceedings-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T18:24:48Z","timestamp":1537554288000},"page":"376-380","source":"Crossref","is-referenced-by-count":6,"title":["Music Chord Recognition Based on Midi-Trained Deep Feature and BLSTM-CRF Hybird Decoding"],"prefix":"10.1109","author":[{"given":"Yiming","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2032947"},{"key":"ref11","first-page":"287","article-title":"RWC Music Database: Popular, Classical, and Jazz Music Databases","author":"goto","year":"2002","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref12","first-page":"367","article-title":"Mir_eval: A Transparent Implementation of Common MIR Metrics","author":"raffel","year":"2014","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref13","first-page":"282","article-title":"Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data","author":"lafferty","year":"2001","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","first-page":"673","article-title":"Four Timely Insights on Automatic Chord Estimation","author":"humphrey","year":"2015","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref16","first-page":"453","article-title":"Learning a Robust Tonnetz-Space Transform for Automatic Chord Recognition","author":"humphrey","year":"2012","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref17","author":"g\u00f3mez","year":"2006","journal-title":"Tonal description of music audio signals"},{"key":"ref18","first-page":"181","article-title":"Time-frequency Reassigned Features for Automatic Chord Recognition","author":"khadkevich","year":"2011","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref19","first-page":"445","article-title":"Chord Recognition using Duration-Explicit Hidden Markov Model","author":"chen","year":"2012","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref4","first-page":"335","article-title":"Audio Chord Recognition with Recurrent Neural Networks","author":"boulanger-lewadowski","year":"2013","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref3","first-page":"127","article-title":"Audio Chord Recognition with a Hybrid Recurrent Neural Network","author":"sigtia","year":"2015","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref6","first-page":"135","article-title":"Approximate Note Transcription for the Improved Identification of Difficult Chords","author":"mauch","year":"2010","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref5","first-page":"357","article-title":"Rethinking Automatic Chord Recognition with Convolutional Neural Networks","author":"humphrey","year":"2012","journal-title":"Sixth Int Conference on Machine Learning and Applications (ICMLA"},{"key":"ref8","article-title":"Constant-Q Transform Toolbox for Music Processing","author":"sch\u00f6rkhuber","year":"2010","journal-title":"Sound and Music Computing (SMC) Conference"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"ref2","first-page":"13","article-title":"A Fully Convolutional Deep Auditory Model for Musical Chord Recognition","author":"korzeniowski","year":"2016","journal-title":"IEEE International Workshop on Machine Learning for Signal Processing (MLSP)"},{"key":"ref1","first-page":"37","article-title":"Feature Learning for Chord Recognition: The Deep Chroma Extractor","author":"korzeniowski","year":"2016","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref9","author":"cho","year":"2014","journal-title":"Improved Techniques for Automatic Chord Recognition from Music Audio Signals"},{"key":"ref20","first-page":"1929","article-title":"Dropout: A Simple Way to Prevent Neural Networks from Overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","first-page":"812","article-title":"A Hybrid Gaussian-HMM-Deep Learning Approach for Automatic Chord Estimation with Very Large Vocabulary","author":"deng","year":"2016","journal-title":"International Society for Music Information Retrieval Conference (ISMIR)"},{"key":"ref21","author":"raffel","year":"2016","journal-title":"Learning-Based Methods for Comparing Sequences with Applications to Audio-to-MIDI Alignment and Matching"}],"event":{"name":"ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Calgary, AB, Canada","start":{"date-parts":[[2018,4,15]]},"end":{"date-parts":[[2018,4,20]]}},"container-title":["2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8450881\/8461260\/08461439.pdf?arnumber=8461439","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T17:56:30Z","timestamp":1754502990000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8461439\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icassp.2018.8461439","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}