Biblio
Filters: Author is Emilia Gómez [Clear All Filters]
Integrating Different Knowledge Sources for the Computational Modeling of Flamenco Music.
( , Ed.).Multimodal Music Processing (Dagstuhl Seminar 11041) - Dagstuhl Reports. 1(1), 82-83. Abstract
(2011).
(2006).
Towards Computer-Assisted Flamenco Transcription: An Experimental Comparison of Automatic Transcription Algorithms As Applied to A Cappella Singing.
Computer Music Journal. 37(2), 73-90.
(2013).
(2006).
Comparative analysis of music recordings from western and non-western traditions by automatic tonal feature extraction and data mining.
4th Conference on Interdisciplinary Musicology (CIM08).
(2008).
CANTE FLAMENCO TECH: Aprendizaje del cante con la ayuda de la tecnología.
V Congreso Interdisciplinar INVESTIGACIÓN Y FLAMENCO (INFLA). Abstract
(2018).
Analyzing Melodic Similarity Judgements in Flamenco a Cappella Singing.
International Conference on Music Perception and Cognition.
(2012).
Melody Description and Extraction in the Context of Music Content Processing.
Journal of New Music Research. 32, Abstract
(2003).
Automatic Melodic Transcription of Flamenco Singing.
Fourth Conference on Interdisciplinary Musicology (CIM08). Abstract
(2008).
Automatic Tonal Analysis from Music Summaries for Version Identification.
AES 121th Convention. Abstract
(2006).
Automatic Detection of Ornamentation in Flamenco Music.
4th International Workshop on Machine Learning and Music, Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011).
(2011).
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).
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).
The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement.
Workshop-Symposium on Research Methods in Music and Emotion. Abstract
(2019).
Flamenco music and its computational study.
BRIDGES: Mathematical Connections in Art, Music, and Science.
(2014).
Content Processing of Music Audio Signals.
( , Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. 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).
Measuring Similarity between Flamenco Rhythmic Patterns.
Journal of New Music Research. 38(2), 129-138. Abstract
(2009).
Storage and Retrieval of relevant information from music master classes.
36th conference of the International Association of Sound and Audiovisual Archives (IASA). Abstract
(2005).
The Musical Avatar - A visualization of musical preferences by means of audio content description.
5th Audio Mostly Conference: A Conference on Interaction with Sound. Abstract
(2010).