4 citations · 7 across the 4 of their papers we have counts for
3 papers · 1 filter
Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine
Anastasia Kuznetsova, Inseon Jang, Wootaek Lim +1
Neural audio codecs, leveraging quantization algorithms, have significantly impacted various speech/audio tasks. While high-fidelity reconstruction is paramount for human perceptio…
Personalized Neural Speech Codec
Inseon Jang, Haici Yang, Wootaek Lim +2
In this paper, we propose a personalized neural speech codec, envisioning that personalization can reduce the model complexity or improve perceptual speech quality. Despite the com…
Conditional variational autoencoder to improve neural audio synthesis for polyphonic music sound
Seokjin Lee, Minhan Kim, Seunghyeon Shin +3
Deep generative models for audio synthesis have recently been significantly improved. However, the task of modeling raw-waveforms remains a difficult problem, especially for audio…