  Wavetable synthesis generates quasi-periodic waveforms of musical tones by
interpolating a list of waveforms called wavetable. As generative models that
utilize latent representations offer various methods in waveform generation for
musical applications, studies in wavetable generation with invertible
architecture have also arisen recently. While they are promising, it is still
challenging to generate wavetables with detailed controls in disentangling
factors within the latent representation. In response, we present Wavespace, a
novel framework for wavetable generation that empowers users with enhanced
parameter controls. Our model allows users to apply pre-defined conditions to
the output wavetables. We employ a variational autoencoder and completely
factorize its latent space to different waveform styles. We also condition the
generator with auxiliary timbral and morphological descriptors. This way, users
can create unique wavetables by independently manipulating each latent subspace
and descriptor parameters. Our framework is efficient enough for practical use;
we prototyped an oscillator plug-in as a proof of concept for real-time
integration of Wavespace within digital audio workspaces (DAWs).
