Cover Image

Multi-channel Speech Separation Using Spatially Selective Deep Non-linear Filters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tesch, Kristina, Gerkmann, Timo
Format:	Preprint
Published:	2023
Subjects:	Audio and Speech Processing Machine Learning Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarios
by: Kienegger, Jakob, et al.
Published: (2025)

Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers
by: Kienegger, Jakob, et al.
Published: (2026)

Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance
by: Kienegger, Jakob, et al.
Published: (2025)

Robustness of Speech Separation Models for Similar-pitch Speakers
by: Lay, Bunlong, et al.
Published: (2024)

An Analysis of the Variance of Diffusion-based Speech Enhancement
by: Lay, Bunlong, et al.
Published: (2024)

Are Modern Speech Enhancement Systems Vulnerable to Adversarial Attacks?
by: Makarov, Rostislav, et al.
Published: (2025)

Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion Models
by: Khanagha, Sina, et al.
Published: (2026)

Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech
by: de Oliveira, Danilo, et al.
Published: (2024)

Mask-Weighted Spatial Likelihood Coding for Speaker-Independent Joint Localization and Mask Estimation
by: Kienegger, Jakob, et al.
Published: (2024)

Adaptive Rotary Steering with Joint Autoregression for Robust Extraction of Closely Moving Speakers in Dynamic Scenarios
by: Kienegger, Jakob, et al.
Published: (2026)

The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement
by: de Oliveira, Danilo, et al.
Published: (2024)

Diffusion Buffer for Online Generative Speech Enhancement
by: Lay, Bunlong, et al.
Published: (2025)

StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation
by: Lemercier, Jean-Marie, et al.
Published: (2022)

Speech Enhancement and Dereverberation with Diffusion-based Generative Models
by: Richter, Julius, et al.
Published: (2022)

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
by: Richter, Julius, et al.
Published: (2024)

Real-Time Streaming Mel Vocoding with Generative Flow Matching
by: Welker, Simon, et al.
Published: (2025)

Single and Few-step Diffusion for Generative Speech Enhancement
by: Lay, Bunlong, et al.
Published: (2023)

Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model
by: Lemercier, Jean-Marie, et al.
Published: (2023)

Investigating Training Objectives for Generative Speech Enhancement
by: Richter, Julius, et al.
Published: (2024)

HRTF Estimation using a Score-based Prior
by: Thuillier, Etienne, et al.
Published: (2024)

BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models
by: Moliner, Eloi, et al.
Published: (2024)

Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
by: Lemercier, Jean-Marie, et al.
Published: (2024)

Do We Need EMA for Diffusion-Based Speech Enhancement? Toward a Magnitude-Preserving Network Architecture
by: Richter, Julius, et al.
Published: (2025)

Diffusion Models for Audio Restoration
by: Lemercier, Jean-Marie, et al.
Published: (2024)

Are These Even Words? Quantifying the Gibberishness of Generative Speech Models
by: de Oliveira, Danilo, et al.
Published: (2025)

LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models
by: Richter, Julius, et al.
Published: (2025)

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification
by: Ravenscroft, William, et al.
Published: (2025)

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
by: Ravenscroft, William, et al.
Published: (2024)

Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
by: Zezario, Ryandhimas E., et al.
Published: (2021)

Towards Audio Codec-based Speech Separation
by: Yip, Jia Qi, et al.
Published: (2024)

Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis
by: Jiang, Xilin, et al.
Published: (2024)

ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation
by: Richter, Julius, et al.
Published: (2025)

EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data
by: Prabhu, Navin Raj, et al.
Published: (2023)

Knowing When to Quit: Probabilistic Early Exits for Speech Separation
by: Olsen, Kenny Falkær, et al.
Published: (2025)

TF-MLPNet: Tiny Real-Time Neural Speech Separation
by: Itani, Malek, et al.
Published: (2025)

Multiple Choice Learning for Efficient Speech Separation with Many Speakers
by: Perera, David, et al.
Published: (2024)

Toward Deep Drum Source Separation
by: Mezza, Alessandro Ilic, et al.
Published: (2023)

Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation
by: Wang, Wupeng, et al.
Published: (2025)

WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features
by: Close, George, et al.
Published: (2025)

Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model
by: Zezario, Ryandhimas E., et al.
Published: (2023)