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Generative De-Quantization for Neural Speech Codec via Latent Diffusion
In low-bitrate speech coding, end-to-end speech coding networks aim to learn compact yet expressive features and a powerful decoder in a single network.
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks
Spectral sub-bands do not portray the same perceptual relevance.
Conditional variational autoencoder to improve neural audio synthesis for polyphonic music sound
Recently, the realtime audio variational autoencoder (RAVE) method was developed for high-quality audio waveform synthesis.
Deep Neural Networks and End-to-End Learning for Audio Compression
We apply a reparametrization trick for the Bernoulli distribution for the discrete representations, which allows smooth backpropagation.
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