Music Transformer
arxiv.org/abs/1809.04281
#DeepLearning #Transformer #MachineLearning #SpeechProcessing #Music
arxiv.org/abs/1809.04281
#DeepLearning #Transformer #MachineLearning #SpeechProcessing #Music
arXiv.org
Music Transformer
Music relies heavily on repetition to build structure and meaning. Self-reference occurs on multiple timescales, from motifs to phrases to reusing of entire sections of music, such as in pieces...
Centre for Computational Statistics and Machine Learning from UCL's Machine Learning Summer School (MLSS'19) video lectures are available here,
https://search.videoken.com/?orgId=198
The topics range from optimization and Bayesian inference to deep learning, reinforcement learning, and Gaussian processes. The lectures are of tutorial style, starts from basics, but then quickly picking up the pace so that after 2-4 hours of teaching, they arrive at the state of the art in the subject area.
#summerschool #machinelearning #tutorials #deeplearning #speechprocessing #reinforcementlearning
https://search.videoken.com/?orgId=198
The topics range from optimization and Bayesian inference to deep learning, reinforcement learning, and Gaussian processes. The lectures are of tutorial style, starts from basics, but then quickly picking up the pace so that after 2-4 hours of teaching, they arrive at the state of the art in the subject area.
#summerschool #machinelearning #tutorials #deeplearning #speechprocessing #reinforcementlearning
Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models
Loren Lugosch, Brett Meyer, Derek Nowrouzezahrai, Mirco Ravanelli : https://arxiv.org/abs/1910.09463
#SpokenLanguageUnderstanding #SpeechProcessing #MachineLearning
Loren Lugosch, Brett Meyer, Derek Nowrouzezahrai, Mirco Ravanelli : https://arxiv.org/abs/1910.09463
#SpokenLanguageUnderstanding #SpeechProcessing #MachineLearning