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1811.02508
Cited By
SDR - half-baked or well done?
6 November 2018
F. Sánchez-Martínez
M. Esplà-Gomis
Hakan Erdogan
J. Hershey
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Papers citing
"SDR - half-baked or well done?"
50 / 611 papers shown
Title
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Better Together: Dialogue Separation and Voice Activity Detection for Audio Personalization in TV
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Configurable EBEN: Extreme Bandwidth Extension Network to enhance body-conducted speech capture
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Towards Real-Time Single-Channel Speech Separation in Noisy and Reverberant Environments
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Sebastian Braun
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Multi-Microphone Speaker Separation by Spatial Regions
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Wolfgang Mack
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Distribution Preserving Source Separation With Time Frequency Predictive Models
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X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion
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Speech Modeling with a Hierarchical Transformer Dynamical VAE
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Xavier Alameda-Pineda
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Multi-Dimensional and Multi-Scale Modeling for Speech Separation Optimized by Discriminative Learning
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A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments
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Julian Tobergte
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Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement
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Simon Welker
Julius Richter
Timo Gerkmann
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3D Neural Beamforming for Multi-channel Speech Separation Against Location Uncertainty
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Shi-Xiong Zhang
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DFSNet: A Steerable Neural Beamformer Invariant to Microphone Array Configuration for Real-Time, Low-Latency Speech Enhancement
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MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions
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Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation
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Chen Chen
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Deep AHS: A Deep Learning Approach to Acoustic Howling Suppression
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Meng Yu
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Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
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Relating EEG to continuous speech using deep neural networks: a review
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NeuralKalman: A Learnable Kalman Filter for Acoustic Echo Cancellation
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Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
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On Batching Variable Size Inputs for Training End-to-End Speech Enhancement Systems
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