479 citations · 827 across the 35 of their papers we have counts for
7 papers · 1 filter
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding
Kai Zhen, Mi Suk Lee, Jongmo Sung +2
Conventional audio coding technologies commonly leverage human perception of sound, or psychoacoustics, to reduce the bitrate while preserving the perceptual quality of the decoded…
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement
Aswin Sivaraman, Minje Kim
This work explores how self-supervised learning can be universally used to discover speaker-specific features towards enabling personalized speech enhancement models. We specifical…
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…
Sparse Mixture of Local Experts for Efficient Speech Enhancement
Aswin Sivaraman, Minje Kim
In this paper, we investigate a deep learning approach for speech denoising through an efficient ensemble of specialist neural networks. By splitting up the speech denoising task i…
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…
Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization
Kai Zhen, Mi Suk Lee, Jongmo Sung +2
Scalability and efficiency are desired in neural speech codecs, which supports a wide range of bitrates for applications on various devices. We propose a collaborative quantization…
Deep Autotuner: a Pitch Correcting Network for Singing Performances
Sanna Wager, George Tzanetakis, Cheng-i Wang +1
We introduce a data-driven approach to automatic pitch correction of solo singing performances. The proposed approach predicts note-wise pitch shifts from the relationship between…