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We propose DiffSep, a new single channel source separation method based on score-matching of a stochastic differential equation (SDE).
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“Perceptual evaluation of speech quality (PESQ) — a new method for speech quality assessment of telephone networks and codecs”
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“Estimation of Non-Normalized Statistical Models by Score Matching”
Aapo Hyvärinen · 2005
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“Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view”
Paris Smaragdis et al · 2014
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“Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks”
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“Deep clustering: Discriminative embeddings for segmentation and separation”
John Hershey et al · 2016
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“Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks”
Cassia Valentini-Botinhao et al · 2016
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Cham: Springer International Publishing, 2018
“Audio Source Separation”, Signals and Communication Technology · 2018
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“Generative Adversarial Source Separation”
Y Subakan and Paris Smaragdis · 2018
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“Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation”
Yi Luo and Nima Mesgarani · 2019
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“SDR–half-baked or well done?”
J Le et al · 2019
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“Generative Modeling by Estimating Gradients of the Data Distribution”
Yang Song and Stefano Ermon · 2019
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“Applied Stochastic Differential Equations”
Simo Särkkä and Arno Solin · 2019
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“Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation”
Jingjing Chen et al · 2020
Cited alongside, same era.
“Improved Techniques for Training Score-Based Generative Models”
Yang Song and Stefano Ermon · 2020
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“Denoising Diffusion Probabilistic Models”
Jonathan Ho et al · 2020
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“Source Separation with Deep Generative Priors”
Vivek Jayaram and John Thickstun · 2020
Cited alongside, same era.
“LibriMix: An Open-Source Dataset for Generalizable Speech Separation” arXiv:2005.11262 [eess], 2020
Joris Cosentino et al · 2020
Cited alongside, same era.
“Attention Is All You Need In Speech Separation”
Cem Subakan et al · 2021
Zhong-Qiu Wang et al · 2022
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“ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding”
Yen-Ju Lu et al · 2022
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“Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models”
Sam Bond-Taylor et al · 2022
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“High-Resolution Image Synthesis With Latent Diffusion Models”
Robin Rombach et al · 2022
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“PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior”
Sang-gil Lee et al · 2022
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Cited alongside, same era.
“Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network”
Xiaolin Hu et al · 2021
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“Wavesplit: End-to-End Speech Separation by Speaker Clustering”
Neil Zeghidour and David Grangier · 2021
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“Adversarial score matching and improved sampling for image generation”
Alexia Jolicoeur-Martineau et al · 2021
Cited alongside, same era.
“Score-Based Generative Modeling through Stochastic Differential Equations”
Yang Song et al · 2021
Cited alongside, same era.
“DiffWave: A Versatile Diffusion Model for Audio Synthesis”
Zhifeng Kong et al · 2021
Cited alongside, same era.
“WaveGrad: Estimating Gradients for Waveform Generation”
Nanxin Chen et al · 2021
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“SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping”
Yuma Koizumi et al · 2022
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“Universal Speech Enhancement with Score-based Diffusion” Arxiv:2206.03065, 2022
Joan Serrà et al · 2022
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“NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates”
Seungu Han and Junhyeok Lee · 2022
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“Conditional Diffusion Probabilistic Model for Speech Enhancement”
Yen-Ju Lu et al · 2022
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Julius Richter et al · 2022
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“Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain”
Simon Welker et al · 2022
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“Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors”
Chandan Reddy et al · 2022
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“An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers”
Jesper Jensen and Cees. Taal · 2022
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