Using recurrent autoencoders, Latent Space compresses audio streams with embeddings specifically for music, eliminating latency and allowing for smooth real-time virtual collaboration.
Latent Space reduces audio payloads by 78%, enabling musicians and others to synchronize as closely as possible.
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Latent Space is a TensorFlow implementation of the ClefNet paper:
Ramesh, V.; Wang, M. ClefNet: Recurrent Autoencoders with Dynamic Time Warping for Near-Lossless Music Compression and Minimal-Latency Transmission. Preprints 2021, 2021030360 (doi: 10.20944/preprints202103.0360.v1).
The main contributions of this paper can be summarized as follows:
Simple as that.