activity
20202022
most citedNeural Feature Predictor and Discriminative Residual Coding for Low-Bitrate Speech Coding

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

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…

cs.SD2020

Non-local convolutional neural networks (nlcnn) for speaker recognition

Haici Yang, Hongda Mao, Ruirui Li +2

Speaker recognition is the process of identifying a speaker based on the voice. The technology has attracted more attention with the recent increase in popularity of smart voice as…

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…

cs.DL2020

Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)

Katy Börner, Olga Scrivner, Leonard E. Cross +6

Understanding the emergence, co-evolution, and convergence of science and technology (S&T) areas offers competitive intelligence for researchers, managers, policy makers, and other…