4 citations · 6 across the 7 of their papers we have counts for
9 papers
FOAdapter: A Plug-and-Play Spatial Tokenizer for Low-Bitrate FOA Speech Coding
Kirak Kim, Yoonjeong Park, Juhan Nam +2
Spatially encoded speech conveys not only linguistic information but also spatial cues. This enables listeners to distinguish and localize speakers, contributing to more natural an…
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…
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…
Perceptual Audio Coding: A 40-Year Historical Perspective
Jürgen Herre, Schuyler Quackenbush, Minje Kim +1
In the history of audio and acoustic signal processing, perceptual audio coding has certainly excelled as a bright success story by its ubiquitous deployment in virtually all digit…
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…
Hyperbolic Distance-Based Speech Separation
Darius Petermann, Minje Kim
In this work, we explore the task of hierarchical distance-based speech separation defined on a hyperbolic manifold. Based on the recent advent of audio-related tasks performed in…
Generative De-Quantization for Neural Speech Codec via Latent Diffusion
Haici Yang, Inseon Jang, Minje Kim
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. A challenging problem as su…