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Mapping, measuring, and managing the harms of generative music
01:06:23
Algorithmic Auditing for Music Discoverability
00:37:14
Melodic and Metrical Elements of Expression in Hindustani Vocal Music
01:13:22
Ethical MIR Research for Trustworthy AI: Principles, Challenges, and Practices
00:39:51
Source separation without ground-truth data
00:54:50
A journey through generative music AI with Valerio Velardo
00:49:26
IA Colaborativa - El impacto de los datos en la IA Generativa
00:06:40
IA Abierta – Modelos para potenciar la creatividad musical
00:06:35
IA Ética – Responsabilidad y el futuro de la IA musical colaborativa
00:09:49
Analyzing Singing Voice Expressivity: Focus on Singing Voice Musical Dynamics
00:58:58
Music Identification with Audio Fingerprinting. An Industrial Perspective
00:54:20
Studying a Musical Repertoire with Computational Approaches: The Case of Carnatic Music
01:12:13
Design, Development, and Deployment of Real-Time Drum Accompaniment Systems
00:57:10
Embedded Machine Learning in Musical Instrument Design, by Chris Kiefer
01:07:26
David Toop and Sergi Jordà: open conversation on music and technology
01:10:55
Violin Performance Analysis using Weak Supervision
00:52:23
Deep Audio Representation Learning for Music Using Weak Supervision
00:56:34
High-Resolution Violin Transcription using Weak Labels
00:03:39
Sounds out of place? Score independent detection of conspicouous mistakes in piano performances.
00:04:00
TriAD: Capturing harmonics with 3D Convolutions
00:03:47
TapTamDrum: A Dataset for Dualized Drum Patterns
00:03:59
Efficient Supervised Training of Audio Transformers for Music Representation Learning
00:04:02
Leveraging pre-trained autoencoders for interpretable prototype learning of music audio
00:11:22
Critical art practices within Generative Music AI with Moisés Horta Valenzuela (𝔥𝔢𝔵𝔬𝔯𝔠𝔦𝔰𝔪𝔬𝔰)
01:43:29
Cátedra IA y Música – Presentation
00:38:38
Interpretable Deep-learning Models for Sound Event Detection and Classification
00:42:39
La IA y el ecosistema musical: desafíos, oportunidades y riesgos
00:35:14
Automatic Characterization and Generation of Music Loops and Samples for Electronic Music Production
00:51:31
Music Technology Group - Universitat Pompeu Fabra
00:48:42
Modeling Timbre for Neural Singing Synthesis
00:46:57