4 citations · 7 across the 4 of their papers we have counts for
5 papers
Explicit Bounds on Hoffman Constants for Sparse Polyhedral Regularizers
Faris Chaudhry, Anthea Monod, Keisuke Yano
Hoffman constants quantify the distance to the solution set of a polyhedral system in terms of its residual; they control error bounds, geometric conditioning, the convergence rate…
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…
Neural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding
Haici Yang, Wootaek Lim, Minje Kim
Low and ultra-low-bitrate neural speech coding achieves unprecedented coding gain by generating speech signals from compact speech features. This paper introduces additional coding…