Source-Aware Neural Audio Coding

Paper Haici Yang, Kai Zhen, Seungkwon Beack, and Minje Kim, “Source-Aware Neural Speech Coding for Noisy Speech Compression,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto,…

Minje’s Previous Research

Vocal Source Separation Related Paper : Minje Kim, Seungkwon Beack, Keunwoo Choi, and Kyeongok Kang, "Gaussian Mixture Model for Singing Voice Separation From Stereophonic Music," in Proceedings of the Audio Engineering…

Lightweight End-to-End Speech Enhancement

Machine guns Models-5dB+5dB Input Mixture Gated ResNet DenseNet Dilated DenseNet DenseNet+GRU Proposed Clean Speech Cicadas Models-5dB+5dB Input Mixture Gated ResNet DenseNet Dilated DenseNet DenseNet+GRU Proposed Clean Speech Motorcycles Models-5dB+5dB Input…
Neural Audio Coding

Neural Audio Coding

Speech/audio coding has traditionally involved substantial domain-specific knowledge such as speech generation models. If you haven’t heard of this concept, don’t worry, because you might be using this technology in…