  Generative models are successfully used for image synthesis in the recent
years. But when it comes to other modalities like audio, text etc little
progress has been made. Recent works focus on generating audio from a
generative model in an unsupervised setting. We explore the possibility of
using generative models conditioned on class labels. Concatenation based
conditioning and conditional scaling were explored in this work with various
hyper-parameter tuning methods. In this paper we introduce Conditional WaveGANs
(cWaveGAN). Find our implementation at https://github.com/acheketa/cwavegan
