no code implementations • 14 Jul 2021 • Sebastian Braun, Ivan Tashev
Convolutional beamformers integrate the multichannel linear prediction model into beamformers, which provide good performance and optimality for joint dereverberation and noise reduction tasks.
no code implementations • 15 Feb 2021 • Sebastian Braun, Ivan Tashev
The task of voice activity detection (VAD) is an often required module in various speech processing, analysis and classification tasks.
no code implementations • 22 Jan 2021 • Sebastian Braun, Hannes Gamper, Chandan K. A. Reddy, Ivan Tashev
It is shown that the achievable speech quality is a function of network complexity, and show which models have better tradeoffs.
no code implementations • 2 May 2018 • Han Zhao, Shuayb Zarar, Ivan Tashev, Chin-Hui Lee
By incorporating prior knowledge of speech signals into the design of model structures, we build a model that is more data-efficient and achieves better generalization on both seen and unseen noise.
no code implementations • 16 Feb 2018 • Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
For a speech-enhancement algorithm, it is highly desirable to simultaneously improve perceptual quality and recognition rate.
no code implementations • 29 Nov 2017 • Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Today, the optimal performance of existing noise-suppression algorithms, both data-driven and those based on classic statistical methods, is range bound to specific levels of instantaneous input signal-to-noise ratios.