4 citations · 6 across the 7 of their papers we have counts for
4 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…
Discrete Audio Tokens: More Than a Survey!
Pooneh Mousavi, Gallil Maimon, Adel Moumen +18
Discrete audio tokens are compact representations that aim to preserve perceptual quality, phonetic content, and speaker characteristics while enabling efficient storage and infere…
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…
A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere In Between?
Kahyun Choi, Minje Kim
This paper provides a computational analysis of poetry reading audio signals at a large scale to unveil the musicality within professionally-read poems. Although the acoustic chara…