Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Manzelli, Rachel"'
Autor:
Baird, Alice, Manzelli, Rachel, Tzirakis, Panagiotis, Gagne, Chris, Li, Haoqi, Allen, Sadie, Dieleman, Sander, Kulis, Brian, Narayanan, Shrikanth S., Cowen, Alan
The NeurIPS 2023 Machine Learning for Audio Workshop brings together machine learning (ML) experts from various audio domains. There are several valuable audio-driven ML tasks, from speech emotion recognition to audio event detection, but the communi
Externí odkaz:
http://arxiv.org/abs/2403.14048
Classical linear metric learning methods have recently been extended along two distinct lines: deep metric learning methods for learning embeddings of the data using neural networks, and Bregman divergence learning approaches for extending learning E
Externí odkaz:
http://arxiv.org/abs/2005.02612
Existing automatic music generation approaches that feature deep learning can be broadly classified into two types: raw audio models and symbolic models. Symbolic models, which train and generate at the note level, are currently the more prevalent ap
Externí odkaz:
http://arxiv.org/abs/1806.09905