His scientific interests lie mostly in Speech recognition, Artificial intelligence, Music information retrieval, World Wide Web and Multimedia. His studies in Speech recognition integrate themes in fields like Timbre, Set, Statistical classification, Polyphony and Feature selection. His Artificial intelligence research integrates issues from Natural language processing, Percussion and Pattern recognition.
His study in Music information retrieval is interdisciplinary in nature, drawing from both Visualization, Information retrieval and Identification. In general World Wide Web study, his work on Recommender system often relates to the realm of CONTEST, thereby connecting several areas of interest. Perfecto Herrera works mostly in the field of Context, limiting it down to topics relating to RSS and, in certain cases, Musical, as a part of the same area of interest.
Perfecto Herrera mostly deals with Artificial intelligence, Speech recognition, Natural language processing, Information retrieval and Music information retrieval. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Musical and Pattern recognition. Visualization is closely connected to Multimedia in his research, which is encompassed under the umbrella topic of Musical.
Perfecto Herrera applies his multidisciplinary studies on Speech recognition and Audio signal processing in his research. His Information retrieval research focuses on subjects like Metadata, which are linked to Popular music. His Music information retrieval research incorporates elements of Statistical classification and Key.
His primary areas of study are Artificial intelligence, Rhythm, Speech recognition, Electronic dance music and Multimedia. His research in Artificial intelligence intersects with topics in Natural language processing, Field and Pattern recognition. His work on Similarity and Pattern recognition as part of general Pattern recognition research is often related to Drum, thus linking different fields of science.
The concepts of his Rhythm study are interwoven with issues in Evolutionary biology, Beat, Perception and Variation. His Speech recognition study integrates concerns from other disciplines, such as Selection, Decoding methods and Sound. His Multimedia study combines topics in areas such as Music information retrieval, Musical, Open source and World Wide Web.
His primary areas of study are Music information retrieval, Multimedia, Audio analyzer, Key and Electronic dance music. His Multimedia study combines topics from a wide range of disciplines, such as Open source and World Wide Web. The various areas that Perfecto Herrera examines in his Key study include Tonality, Human–computer interaction, Variety, Electronic music and Operations research.
His Electronic dance music study spans across into fields like Music theory and Umbrella term. He regularly links together related areas like Speech recognition in his Computation studies. Perfecto Herrera connects Speech recognition with Recurrence quantification analysis in his research.
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Essentia: An Audio Analysis Library for Music Information Retrieval.
Dmitry Bogdanov;Nicolas Wack;Emilia Gómez;Sankalp Gulati.
international symposium/conference on music information retrieval (2013)
Chroma Binary Similarity and Local Alignment Applied to Cover Song Identification
J. Serra;E. Gomez;P. Herrera;X. Serra.
IEEE Transactions on Audio, Speech, and Language Processing (2008)
Multimodal Music Mood Classification Using Audio and Lyrics
C. Laurier;J. Grivolla;P. Herrera.
international conference on machine learning and applications (2008)
A new approach to evaluating novel recommendations
Òscar Celma;Perfecto Herrera.
conference on recommender systems (2008)
Instrument Sound Description in the Context of MPEG-7
Geoffroy Peeters;Stephen McAdams;Perfecto Herrera.
international computer music conference (2000)
MUSIC MOOD REPRESENTATIONS FROM SOCIAL TAGS
Cyril Laurier;Mohamed Sordo;Joan Serrà;Perfecto Herrera.
international symposium/conference on music information retrieval (2009)
Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques
Perfecto Herrera;Alexandre Yeterian;Fabien Gouyon.
international conference on music and artificial intelligence (2002)
The roles of superficial amygdala and auditory cortex in music-evoked fear and joy.
Stefan Koelsch;Stefan Koelsch;Stavros Skouras;Stavros Skouras;Thomas Fritz;Perfecto Herrera.
Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond
Joan Serrà;Emilia Gómez;Perfecto Herrera.
Advances in Music Information Retrieval (2010)
Semantic audio content-based music recommendation and visualization based on user preference examples
Dmitry Bogdanov;MartíN Haro;Ferdinand Fuhrmann;Anna Xambó.
Information Processing and Management (2013)
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