Search Results for author: Oguz H. Elibol

Found 6 papers, 0 papers with code

Semi-supervised voice conversion with amortized variational inference

no code implementations30 Sep 2019 Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol

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.

Variational Inference Voice Conversion

Semi-supervised and Population Based Training for Voice Commands Recognition

no code implementations10 May 2019 Oguz H. Elibol, Gokce Keskin, Anil Thomas

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.

Classification General Classification +1

Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion

no code implementations9 May 2019 Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran

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.

Voice Conversion

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support

no code implementations30 Apr 2019 Gokce Keskin, Tyler Lee, Cory Stephenson, Oguz H. Elibol

We present a Cycle-GAN based many-to-many voice conversion method that can convert between speakers that are not in the training set.

Speaker Identification Voice Conversion

Distributed Processing of Biosignal-Database for Emotion Recognition with Mahout

no code implementations9 Sep 2016 Varvara Kollia, Oguz H. Elibol

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.

BIG-bench Machine Learning Emotion Recognition

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