Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages

Author:

Strake Maximilian1,Defraene Bruno2,Fluyt Kristoff2,Tirry Wouter2,Fingscheidt Tim1

Affiliation:

1. Institute for Communications Technology,Technische Universität Braunschweig,Braunschweig,Germany,38106

2. Product Line Voice and Audio Solutions,NXP Semiconductors,Leuven,Belgium,3001

Publisher

IEEE

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Speech enhancement using deep complex convolutional neural network (DCCNN) model;Signal, Image and Video Processing;2024-08-14

2. Exploring Time and Frequency Domain Loss Functions in Real-Time Speech Enhancement Using an Efficient Neural Network: A Comparative Study;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

3. Employing Real Training Data for Deep Noise Suppression;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Speech Enhancement Based on a Joint Two-Stage CRN+DNN-DEC Model and a New Constrained Phase-Sensitive Magnitude Ratio Mask;IEEE Access;2024

5. A Deep Learning Speech Enhancement Architecture Optimised for Speech Recognition and Hearing Aids;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

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