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Speech Dereverberation

5 papers with code ยท Speech
Subtask of Speech Enhancement

Removing reverberation from audio signals

Benchmarks

Latest papers without code

Position-Agnostic Multi-Microphone Speech Dereverberation

22 Oct 2020

Neural networks (NNs) have been widely applied in speech processing tasks, and, in particular, those employing microphone arrays.

SPEECH DEREVERBERATION

BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks

21 Oct 2020

The proposed method addresses involved tasks as a sequence to sequence mapping problem, which is general enough for a variety of front-end speech enhancement tasks.

SPEECH DEREVERBERATION SPEECH SEPARATION

Dereverberation using joint estimation of dry speech signal and acoustic system

24 Jul 2020

The purpose of speech dereverberation is to remove quality-degrading effects of a time-invariant impulse response filter from the signal.

SPEECH DEREVERBERATION

Translate Reverberated Speech to Anechoic Ones: Speech Dereverberation with BERT

16 Jul 2020

Single channel speech dereverberation is considered in this work.

SPEECH DEREVERBERATION

Simultaneous Denoising and Dereverberation Using Deep Embedding Features

6 Apr 2020

In this paper, we propose a joint training method for simultaneous speech denoising and dereverberation using deep embedding features, which is based on the deep clustering (DC).

CLUSTERING DEEP CLUSTERING DENOISING SPEECH DEREVERBERATION SPEECH SEPARATION

Single-channel Speech Dereverberation via Generative Adversarial Training

25 Jun 2018

In this paper, we propose a single-channel speech dereverberation system (DeReGAT) based on convolutional, bidirectional long short-term memory and deep feed-forward neural network (CBLDNN) with generative adversarial training (GAT).

SPEECH DEREVERBERATION

Speech Dereverberation Using Nonnegative Convolutive Transfer Function and Spectro temporal Modeling

16 Sep 2017

This paper presents two single channel speech dereverberation methods to enhance the quality of speech signals that have been recorded in an enclosed space.

SPEECH DEREVERBERATION

Supervised Speech Separation Based on Deep Learning: An Overview

24 Aug 2017

A more recent approach formulates speech separation as a supervised learning problem, where the discriminative patterns of speech, speakers, and background noise are learned from training data.

SPEAKER SEPARATION SPEECH DEREVERBERATION SPEECH SEPARATION