Search Results for author:
Found 8 papers, 1 papers with code
Array Geometry-Robust Attention-Based Neural Beamformer for Moving Speakers
Although mask-based beamforming is a powerful speech enhancement approach, it often requires manual parameter tuning to handle moving speakers.
Speaker-conditioning Single-channel Target Speaker Extraction using Conformer-based Architectures
Target speaker extraction aims at extracting the target speaker from a mixture of multiple speakers exploiting auxiliary information about the target speaker.
Dictionary-Based Fusion of Contact and Acoustic Microphones for Wind Noise Reduction
In mobile speech communication applications, wind noise can lead to a severe reduction of speech quality and intelligibility.
Deep Multi-Frame MVDR Filtering for Binaural Noise Reduction
To improve speech intelligibility and speech quality in noisy environments, binaural noise reduction algorithms for head-mounted assistive listening devices are of crucial importance.
Joint Multi-Channel Dereverberation and Noise Reduction Using a Unified Convolutional Beamformer With Sparse Priors
To optimize the convolutional filter, the desired speech component is modeled with a time-varying Gaussian model, which promotes the sparsity of the desired speech component in the short-time Fourier transform domain compared to the noisy microphone signals.
Speaker-conditioned Target Speaker Extraction based on Customized LSTM Cells
In this paper, we focus on a single-channel target speaker extraction system based on a CNN-LSTM separator network and a speaker embedder network requiring reference speech of the target speaker.
Deep Multi-Frame MVDR Filtering for Single-Microphone Speech Enhancement
Multi-frame algorithms for single-microphone speech enhancement, e. g., the multi-frame minimum variance distortionless response (MFMVDR) filter, are able to exploit speech correlation across adjacent time frames in the short-time Fourier transform (STFT) domain.
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement
In contrast to single-frame approaches such as the Wiener gain, it has been shown that multi-frame approaches achieve a substantial noise reduction with hardly any speech distortion, provided that an accurate estimate of the correlation matrices and especially the speech interframe correlation (IFC) vector is available.
