Biblio
] Filters: Author is Emilia Gómez [Clear All Filters]
(2018). A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work.
Workshop on architectures and evaluation for generality, autonomy and progress in AI, IJCAI-ECAI 2018, AAMAS 2018 AND ICML 2018.
(2018). 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). CANTE FLAMENCO TECH: Aprendizaje del cante con la ayuda de la tecnología.
V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA).
(2018). Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies.
Department of Telecommunications and Information Technologies. 299. Abstract
(2018). Analysis of Intonation in Unison Choir Singing.
15th International Conference on Music Perception and Cognition (ICMPC).
(2018). Automatic Transcription of Flamenco Guitar Falsetas.
International Workshop on Folk Music Analysis.
(2017). Timbre Analysis of Music Audio Signals with Convolutional Neural Networks.
25th European Signal Processing Conference (EUSIPCO).
(2017). Monaural score-informed source separation for classical music using convolutional neural networks.
18th International Society for Music Information Retrieval Conference.
(2017). An Analysis/Synthesis Framework for Automatic F0 Annotation of Multitrack Datasets.
18th International Society for Music Information Retrieval Conference. Abstract
(2017). Correspondence between audio and visual deep models for musical instrument detection in video recordings.
18th International Society for Music Information Retrieval Conference (ISMIR2017, LBD).
(2017). Visual music transcription of clarinet video recordings trained with audio-based labelled data.
ICCV 2017 Workshop on Computer Vision for Audio-Visual Media (CVAVM). Abstract
(2017). Generating data to train convolutional neural networks for classical music source separation.
Proceedings of the 14th Sound and Music Computing Conference. 227-233.
(2017). Acoustic scene classification by ensembling gradient boosting machine and convolutional neural networks.
Workshop on Detection and Classification of Acoustic Scenes and Events. Abstract
(2017). Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture.
ACM International Conference on Multimedia Retrieval. Abstract
(2017). Monoaural Audio Source Separation Using Deep Convolutional Neural Networks.
13th International Conference on Latent Variable Analysis and Signal Separation (LVA ICA2017).
(2017). Towards the Prediction of Dyslexia by a Web-based Game with Musical Elements.
The 14th International Web for All Conference . 4-7. Abstract
(2017). Multimedia Technologies for Enriched Music Performance, Production and Consumption.
IEEE Mutlimedia Magazine . 24(01), 20-23. Abstract
(2017). BAT: An open-source, web-based audio events annotation tool.
Web Audio Conference. Abstract
(2017). Musical Interaction Based on the Conductor Metaphor.
Information and Communication Technologies. Abstract
(2017). On the Interrelation between Listener Characteristics and the Perception of Emotion in Classical Orchestra Music.
IEEE Transactions on Affective Computing. Abstract
(2016). A Comparison of Melody Extraction Methods Based on Source-Filter Modelling.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). 571-577.
(2016). Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies.
13th Sound and Music Computing Conference (SMC 2016). Abstract
(2016). Melody extraction based on a source-filter model using pitch contour selection.
13th Sound and Music Computing Conference (SMC 2016). 67-74. Abstract
