64 citations · 210 across the 14 of their papers we have counts for
3 papers · 1 filter
End-to-End Multi-Task Denoising for the Joint Optimization of Perceptual Speech Metrics
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
Although supervised learning based on a deep neural network has recently achieved substantial improvement on speech enhancement, the existing schemes have either of two critical is…
T-GSA: Transformer with Gaussian-weighted self-attention for speech enhancement
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
Transformer neural networks (TNN) demonstrated state-of-art performance on many natural language processing (NLP) tasks, replacing recurrent neural networks (RNNs), such as LSTMs o…
End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization
Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee
Supervised learning based on a deep neural network recently has achieved substantial improvement on speech enhancement. Denoising networks learn mapping from noisy speech to clean…