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20202025
most citedPersonalized Neural Speech Codec

4 citations · 6 across the 7 of their papers we have counts for

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6 papers · 1 filter

eess.AS2023

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…

eess.AS20221 cited

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…

eess.AS2022

Upmixing via style transfer: a variational autoencoder for disentangling spatial images and musical content

Haici Yang, Sanna Wager, Spencer Russell +3

In the stereo-to-multichannel upmixing problem for music, one of the main tasks is to set the directionality of the instrument sources in the multichannel rendering results. In thi…

eess.AS2021

Don't Separate, Learn to Remix: End-to-End Neural Remixing with Joint Optimization

Haici Yang, Shivani Firodiya, Nicholas J. Bryan +1

The task of manipulating the level and/or effects of individual instruments to recompose a mixture of recordings, or remixing, is common across a variety of applications such as mu…

eess.AS2020

Source-Aware Neural Speech Coding for Noisy Speech Compression

Haici Yang, Kai Zhen, Seungkwon Beack +1

This paper introduces a novel neural network-based speech coding system that can process noisy speech effectively. The proposed source-aware neural audio coding (SANAC) system harm…

eess.AS2020

Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation

Sunwoo Kim, Haici Yang, Minje Kim

Speech enhancement tasks have seen significant improvements with the advance of deep learning technology, but with the cost of increased computational complexity. In this study, we…