29 citations · 35 across the 10 of their papers we have counts for
11 papers
Interpretable Destination-Aware Synthesizer Modulation Recovery
David Liu, Giulio Cengarle, David Cooper +2
Synthesizer programming is a challenging task, particularly in configuring modulation: the time-varying control of parameters such as pitch, filter cutoff, and oscillator level by…
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…
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…
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…
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…
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…
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…
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…
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…
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…