Biblio

Export 155 results:
Sort by: Author Title Type [ Year (Desc)]
Filters: First Letter Of Title is A  [Clear All Filters]
2019
Demirel, E., Bozkurt B., & Serra X. (2019).  Automatic Chord-Scale Recognition Using Harmonic Pitch Class Profiles. Sound and Music Computing Conference. 72-79. Abstract
Alonso-Jiménez, P., Joglar-Ongay L., Serra X., & Bogdanov D. (2019).  Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution. AES 146th Convention. Abstract
application/pdf iconPoster_Automatic Detection of Audio Problems for Quality Control in Digital Music Distribution.pdf
Cimarone, L., Bozkurt B., & Serra X. (2019).  Automatic Dastgah Recognition Using Markov Models. 14th International Symposium on Computer Music Multidisciplinary Research (CMMR). 51-58. Abstract
Pérez-López, A., & Stefanakis N. (2019).  Analysis of spherical isotropic noise fields with an A-Format tetrahedral microphone.. The Journal of the Acoustical Society of America. EL329–EL334. Abstract
Bogdanov, D., Porter A., Schreiber H., Urbano J., & Oramas S. (2019).  The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 20th International Society for Music Information Retrieval Conference (ISMIR 2019). Abstract
Ferraro, A., Bogdanov D., Serra X., & Yoon J. (2019).  Artist and Style Exposure Bias in Collaborative Filtering Based Music Recommendations. Workshop on Designing Human-Centric MIR Systems.
application/pdf iconwsHCMIR19_paper_1.pdf
Jones, M. K. (2019).  Acoustic Scene Classification using Convolutional Neural Networks on Multivariate Audio. Abstract
Badenas, V. (2019).  Audio Problems Detection on Sound Collections. Abstract
Puranik, N. V. (2019).  Automatic Assessment of Singing. Abstract
Luque, S. R. (2019).  Automatic Detection of Flamenco Singing Vocal Resources. Abstract
Can, C. (2019).  Automatic Discrimination of Domestic Cat Sounds and Imitations. Abstract
2018
Demirel, E., Bozkurt B., & Serra X. (2018).  Automatic makam recognition using chroma features. International Workshop on Folk Music Analysis. Abstract
Eremenko, V., Demirel E., Bozkurt B., & Serra X. (2018).  Audio-aligned jazz harmony dataset for automatic chord transcription and corpus-based research. International Society for Music Information Retrieval Conference. Abstract
Gong, R. (2018).  Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music. Department of Information and Communications Technologies. xxxii + 235. Abstract
Yesiler, F. (2018).  Analysis and Automatic Classification of Phonation Modes in Singing. Abstract
Cuesta, H., Gómez E., Martorell A., & Loáiciga F. (2018).  Analysis of Intonation in Unison Choir Singing. 15th International Conference on Music Perception and Cognition (ICMPC).
Demirel, E. (2018).  Automatic Chord-Scale Type Detection Using Chroma Features. Abstract
Eremenko, V. (2018).  Automatic Harmony Analysis of Jazz Audio Recordings. Abstract
Ferraro, A., Bogdanov D., Yoon J., Kim K. S., & Serra X. (2018).  Automatic playlist continuation using a hybrid recommender system combining features from text and audio. Workshop on the RecSys Challenge 2018. Abstract
Rodríguez, S., Gómez E., & Cuesta H. (2018).  Automatic Transcription of Flamenco Guitar Falsetas. International Workshop on Folk Music Analysis.
2017
Salamon, J., Bittner R., Bonada J., Bosch J. J., Gómez E., & Bello J. P. (2017).  An Analysis/Synthesis Framework for Automatic F0 Annotation of Multitrack Datasets. 18th International Society for Music Information Retrieval Conference. Abstract
application/pdf icon164_Paper.pdf
Gong, R., Pons J., & Serra X. (2017).  Audio to Score Matching by Combining Phonetic and Duration Information. The 18th International Society for Music Information Retrieval Conference. Abstract
Fonseca, E., Gong R., Bogdanov D., Slizovskaia O., Gomez E., & Serra X. (2017).  Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks. Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
Dalmazzo, D. C., & Ramirez R. (2017).  Air Violin: A Machine Learning Approach to Fingering Gesture Recognition. MIE’17, November 13, 2017, Glasgow, UK. 4. Abstract
Srinivasamurthy, A., Holzapfel A., Ganguli K. K., & Serra X. (2017).  Aspects of tempo and rhythmic elaboration in Hindustani music: A corpus study. Frontiers in Digital Humanities: Digital Musicology. 4, 20. Abstract
intranet