Search Results for author: Ivan Tashev

Found 6 papers, 0 papers with code

Low complexity online convolutional beamforming

no code implementations14 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.

On training targets for noise-robust voice activity detection

no code implementations15 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.

Action Detection Activity Detection

Towards efficient models for real-time deep noise suppression

no code implementations22 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.

Speech Enhancement

Convolutional-Recurrent Neural Networks for Speech Enhancement

no code implementations2 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.

Speech Enhancement

Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality

no code implementations29 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.

Frame reinforcement-learning +1

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