Cover Image

Investigating Training Objectives for Generative Speech Enhancement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Richter, Julius, de Oliveira, Danilo, Gerkmann, Timo
Format:	Preprint
Published:	2024
Subjects:	Audio and Speech Processing Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Multi-channel Speech Separation Using Spatially Selective Deep Non-linear Filters
by: Tesch, Kristina, et al.
Published: (2023)

Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement
by: de Oliveira, Danilo, et al.
Published: (2026)

Objective and Subjective Evaluation of Diffusion-Based Speech Enhancement for Dysarthric Speech
by: de Groot, Dimme, et al.
Published: (2025)

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)

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

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

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

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

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

Scale This, Not That: Investigating Key Dataset Attributes for Efficient Speech Enhancement Scaling
by: Zhang, Leying, et al.
Published: (2024)

Geneses: Unified Generative Speech Enhancement and Separation
by: Asai, Kohei, et al.
Published: (2026)

Universal Speech Enhancement with Regression and Generative Mamba
by: Chao, Rong, et al.
Published: (2025)

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

Reducing the Gap Between Pretrained Speech Enhancement and Recognition Models Using a Real Speech-Trained Bridging Module
by: Cui, Zhongjian, et al.
Published: (2025)

A Hybrid Discriminative and Generative System for Universal Speech Enhancement
by: Liu, Yinghao, et al.
Published: (2026)

Few-step Adversarial Schrödinger Bridge for Generative Speech Enhancement
by: Han, Seungu, et al.
Published: (2025)

Confidence-based Filtering for Speech Dataset Curation with Generative Speech Enhancement Using Discrete Tokens
by: Yamauchi, Kazuki, et al.
Published: (2026)

Investigating Neural Audio Codecs for Speech Language Model-Based Speech Generation
by: Li, Jiaqi, et al.
Published: (2024)

Plugin Speech Enhancement: A Universal Speech Enhancement Framework Inspired by Dynamic Neural Network
by: Chen, Yanan, et al.
Published: (2024)

Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement
by: Li, Chenda, et al.
Published: (2024)

An Investigation of Incorporating Mamba for Speech Enhancement
by: Chao, Rong, et al.
Published: (2024)

Robust Speech Recognition with Schrödinger Bridge-Based Speech Enhancement
by: Nasretdinov, Rauf, et al.
Published: (2025)

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

Investigating the Effects of Diffusion-based Conditional Generative Speech Models Used for Speech Enhancement on Dysarthric Speech
by: Reszka, Joanna, et al.
Published: (2024)

Absorbing Discrete Diffusion for Speech Enhancement
by: Gonzalez, Philippe
Published: (2026)