Biblio
Filters: Author is Emilia Gómez [Clear All Filters]
Correspondence between audio and visual deep models for musical instrument detection in video recordings.
18th International Society for Music Information Retrieval Conference (ISMIR2017, LBD). Abstract
(2017).
Da-TACOS: A dataset for cover song identification and understanding.
International Society for Music Information Retrieval (ISMIR). Abstract
(2019).
Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners.
Keynote speech, 2018 Joint Workshop on Machine Learning for Music. The Federated Artificial Intelligence Meeting (FAIM), a joint workshop program of ICML, IJCAI/ECAI, and AAMAS.
(2018).
End-to-End Sound Source Separation Conditioned On Instrument Labels.
2019 International Conference on Acoustics, Speech, and Signal Processing. Abstract
(2019).
ESSENTIA: an Audio Analysis Library for Music Information Retrieval.
International Society for Music Information Retrieval Conference (ISMIR'13). 493-498. Abstract
(2013).
ESSENTIA: an Open-Source Library for Sound and Music Analysis.
ACM International Conference on Multimedia (MM'13). 855-858. Abstract
(2013).
Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies.
5th International Society for Music Information Retrieval (ISMIR) Conference. 92-95. Abstract
(2004).
(2006).
FlaBase: Towards the Creation of a Flamenco Music Knowledge Base.
16th International Society for Music Information Retrieval Conference. Abstract
(2015).
A Framework for Multi-f0 Modeling in SATB Choir Recordings.
Sound and Music Computing Conference. 447-453. Abstract
(2019).
Fundamental frequency alignment vs note-based melodic similarity for singing voice assessment.
8th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
(2013).
Generating data to train convolutional neural networks for classical music source separation.
Proceedings of the 14th Sound and Music Computing Conference. 227-233.
(2017).
Immersive Orchestras: audio processing for orchestral music VR content.
VSGAMES 2016 - 8th International Conference on Virtual Worlds and Games for Serious Applications. Abstract
(2016).
Improving accompanied Flamenco singing voice transcription by combining vocal detection and predominant melody extraction..
International Computer Music Conference/Sound and Music Computing Conference. Abstract
(2014).
Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study.
The 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) . 583-590.
(2012).
An Industrial-Strength Content-based Music Recommendation System.
28th Annual International ACM SIGIR Conference. Abstract
(2005).
Key Estimation in Electronic Dance Music.
38th European Conference on Information Retrieval. 335-347. Abstract
(2016).
Learning Violinist's Expressive Trends .
International Workshop on Machine Learning and Music, Held in conjunction with ICML/COLT/UAI 2008. Abstract
(2008).
Lifesoundtrack: an intergenerational musical experience to promote wellbeing in people with dementia while increasing community awareness.
14th International Conference on Alzheimer's and Parkinson's Diseases. Abstract
(2019).
A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2004).
Melodic Characterization and Similarity in A Cappella Flamenco Cantes.
International Society for Music Information Retrieval Conference (ISMIR) . Abstract
(2010).
(2003).
Melody extraction based on a source-filter model using pitch contour selection.
13th Sound and Music Computing Conference (SMC 2016). 67-74. Abstract
(2016).
Melody extraction by means of a source-filter model and pitch contour characterization (MIREX 2015).
Music Information Retrieval Evaluation eXchange (MIREX).
(2015).
Melody extraction in symphonic classical music: a comparative study of mutual agreement between humans and algorithms.
9th Conference on Interdisciplinary Musicology – CIM14.
(2014).