Spectral Masking With Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement

Autor: Luan Vinicius Fiorio, Boris Karanov, Bruno Defraene, Johan David, Frans Widdershoven, Wim Van Houtum, Ronald M. Aarts

Publikováno v: IEEE Access, Vol 12, Pp 154843-154852 (2024)

We propose and analyze the use of an explicit time-context window for neural network-based spectral masking speech enhancement to leverage signal context dependencies between neighboring frames. In particular, we concentrate on soft masking and loss

Externí odkaz: https://doaj.org/article/700eaabf49ad437bb01c35c6687228d5

Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration

Autor: Bruno Defraene, Tim Fingscheidt, Wouter Tirry, Maximilian Strake, Kristoff Fluyt

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-26 (2020)
EURASIP Journal on Advances in Signal Processing, 2020, 49 (2020). https://doi.org/10.1186/s13634-020-00707-1--http://asp.eurasipjournals.com/--http://www.bibliothek.uni-regensburg.de/ezeit/?2364203--1687-6180

Single-channel speech enhancement in highly non-stationary noise conditions is a very challenging task, especially when interfering speech is included in the noise. Deep learning-based approaches have notably improved the performance of speech enhanc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e7a3be4309dc4a2b535f94890c37812
https://doaj.org/article/565f8fc0d3a94182b4106ab639dfc73d

Fully Convolutional Recurrent Networks for Speech Enhancement

Autor: Kristoff Fluyt, Tim Fingscheidt, Bruno Defraene, Maximilian Strake, Wouter Tirry

Publikováno v: ICASSP

Convolutional recurrent neural networks (CRNs) using convolutional encoder-decoder (CED) structures have shown promising performance for single-channel speech enhancement. These CRNs handle temporal modeling through integrating long short-term memory

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::290345c03e14fd2f340baa12a31527d8
https://doi.org/10.1109/icassp40776.2020.9054230

Subjective audio quality evaluation of embedded-optimization-based distortion precompensation algorithms

Autor: Moritz Diehl, Bruno Defraene, Marc Moonen, Toon van Waterschoot

Publikováno v: The Journal of the Acoustical Society of America. 140:EL101-EL106

Subjective audio quality evaluation experiments have been conducted to assess the performance of embedded-optimization-based precompensation algorithms for mitigating perceptible linear and nonlinear distortion in audio signals. It is concluded with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ce1f3646d21e6230410cdbd087fc60
https://doi.org/10.1121/1.4955025

Declipping of Audio Signals Using Perceptual Compressed Sensing

Autor: Toon van Waterschoot, Moritz Diehl, Bruno Defraene, Marc Moonen, Naim Mansour, Steven De Hertogh

Publikováno v: IEEE Transactions on Audio, Speech, and Language Processing. 21:2627-2637

The restoration of clipped audio signals, commonly known as declipping, is important to achieve an improved level of audio quality in many audio applications. In this paper, a novel declipping algorithm is presented, jointly based on the theory of co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::602b197d08b319c520cf682fbdb56aee
https://doi.org/10.1109/tasl.2013.2281570