audio denoising

Douyu Streaming

Oct 20, 2021 · Artificial Intelligence

How DeepXi and MHANet Revolutionize Speech Enhancement with Multi‑Head Attention

DeepXi introduces a two‑stage deep learning framework for speech enhancement, using prior SNR estimation and MMSE gain, while the MHANet extension leverages multi‑head attention to model long‑range dependencies, with detailed training strategies, model compression to GRU, deployment via TFLite, and impressive low‑latency results.

GRUTFLiteaudio denoising

0 likes · 8 min read

How DeepXi and MHANet Revolutionize Speech Enhancement with Multi‑Head Attention

360 Quality & Efficiency

Sep 3, 2021 · Artificial Intelligence

Model‑Based Audio Denoising Using Deep Learning for Device Quality Evaluation

This article presents a deep‑learning approach that transforms recorded audio into spectrograms, trains a noise‑prediction network (e.g., ResNet, U‑Net, LSTM) to estimate environmental noise, subtracts it in the frequency domain, and reconstructs a cleaner signal for more accurate audio‑device quality assessment.

STFTaudio denoisingdeep learning

0 likes · 11 min read

Model‑Based Audio Denoising Using Deep Learning for Device Quality Evaluation