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Found 6 papers, 0 papers with code
Distributed Processing of Biosignal-Database for Emotion Recognition with Mahout
This paper investigates the use of distributed processing on the problem of emotion recognition from physiological sensors using a popular machine learning library on distributed mode.
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support
We present a Cycle-GAN based many-to-many voice conversion method that can convert between speakers that are not in the training set.
Semi-supervised and Population Based Training for Voice Commands Recognition
We present a rapid design methodology that combines automated hyper-parameter tuning with semi-supervised training to build highly accurate and robust models for voice commands classification.
Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion
Due to the use of a single encoder, our method can generalize to converting the voice of out-of-training speakers to speakers in the training dataset.
Semi-supervised voice conversion with amortized variational inference
In this work we introduce a semi-supervised approach to the voice conversion problem, in which speech from a source speaker is converted into speech of a target speaker.
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
This necessitates increased memory footprint and computational requirements for training.
