Dabi Ahn
AI/ML Engineer.
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About
Dabi Ahn works in ML & data science and AI engineering, based in Seoul, Korea. AI/ML Engineer. Public projects on GitHub include Deep Voice Conversion (Deep neural networks for voice conversion (voice style transfer) in Tensorflow), Music Source Separation (Deep neural networks for separating singing voice from music written in TensorFlow) and Voice Vector (Deep neural networks for getting text-independent speaker embedding written in TensorFlow), mostly written in Python and Java.
Projects 6
Deep Voice Conversion
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
github.comMusic Source Separation
Deep neural networks for separating singing voice from music written in TensorFlow
github.comVoice Vector
Deep neural networks for getting text-independent speaker embedding written in TensorFlow
github.comDeep Text Corrector
English text corrector by using deep neural networks in Pytorch
github.comVoice Disciminator
A neural network for filtering target speaker's voice from audio written in tensorflow
github.com- github.com
Autoencoder Vae Gan
Implementations of vanilla autoencoder, VAE, and GAN in Tensorflow