{"list":"other","total":52,"rows":[{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2011.13456","title":"Score-Based Generative Modeling through Stochastic Differential Equations","created":"2020-11-26","cited_by_count":9122},{"id":"2204.06125","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","created":"2022-04-13","cited_by_count":6585},{"id":"2006.11477","title":"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations","created":"2020-06-20","cited_by_count":3905},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"2106.07447","title":"HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units","created":"2021-06-14","cited_by_count":2342},{"id":"1609.04802","title":"Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network","created":"2016-09-15","cited_by_count":1908},{"id":"1711.05101","title":"Decoupled Weight Decay Regularization","created":"2017-11-14","cited_by_count":1831},{"id":"2110.13900","title":"WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing","created":"2021-10-26","cited_by_count":1657},{"id":"2010.05646","title":"HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis","created":"2020-10-12","cited_by_count":1154},{"id":"1611.04076","title":"Least Squares Generative Adversarial Networks","created":"2016-11-13","cited_by_count":1001},{"id":"1706.08612","title":"VoxCeleb: a large-scale speaker identification dataset","created":"2017-06-26","cited_by_count":732},{"id":"2210.13438","title":"High Fidelity Neural Audio Compression","created":"2022-10-24","cited_by_count":687},{"id":"2106.06103","title":"Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech","created":"2021-06-11","cited_by_count":561},{"id":"1602.07868","title":"Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks","created":"2016-02-25","cited_by_count":543},{"id":"1811.02508","title":"SDR - half-baked or well done?","created":"2018-11-06","cited_by_count":423},{"id":"2204.02152","title":"UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022","created":"2022-04-05","cited_by_count":390},{"id":"1910.06711","title":"MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis","created":"2019-10-08","cited_by_count":354},{"id":"2108.06209","title":"W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training","created":"2021-08-07","cited_by_count":347},{"id":"2208.05830","title":"Speech Enhancement and Dereverberation with Diffusion-based Generative Models","created":"2022-08-11","cited_by_count":197},{"id":"2006.12847","title":"Real Time Speech Enhancement in the Waveform Domain","created":"2020-06-23","cited_by_count":186},{"id":"2110.01763","title":"DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors","created":"2021-10-05","cited_by_count":172},{"id":"2311.04287","title":"Holistic Evaluation of Text-To-Image Models","created":"2023-11-07","cited_by_count":160},{"id":"1806.03185","title":"Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation","created":"2018-06-08","cited_by_count":125},{"id":"2104.03538","title":"MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement","created":"2021-04-08","cited_by_count":114},{"id":"2212.11851","title":"StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation","created":"2022-12-22","cited_by_count":105},{"id":"2203.17004","title":"Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain","created":"2022-03-31","cited_by_count":102},{"id":"2305.18802","title":"LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus","created":"2023-05-30","cited_by_count":101},{"id":"2206.03065","title":"Universal Speech Enhancement with Score-based Diffusion","created":"2022-06-07","cited_by_count":75},{"id":"2010.15508","title":"FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement","created":"2020-10-29","cited_by_count":68},{"id":"2202.13288","title":"ICASSP 2022 Deep Noise Suppression Challenge","created":"2022-02-27","cited_by_count":60},{"id":"2203.13086","title":"HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement","created":"2022-03-24","cited_by_count":49},{"id":"1706.07162","title":"A Wavenet for Speech Denoising","created":"2017-06-22","cited_by_count":47},{"id":"2102.05109","title":"CDPAM: Contrastive learning for perceptual audio similarity","created":"2021-02-09","cited_by_count":42},{"id":"2006.05694","title":"HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks","created":"2020-06-10","cited_by_count":40},{"id":"2204.05841","title":"VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration","created":"2022-04-12","cited_by_count":37},{"id":"2312.09747","title":"SELM: Speech Enhancement Using Discrete Tokens and Language Models","created":"2023-12-15","cited_by_count":36},{"id":"2302.14748","title":"Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement","created":"2023-02-28","cited_by_count":30},{"id":"2203.12188","title":"FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement","created":"2022-03-23","cited_by_count":29},{"id":"2204.03339","title":"Boosting Self-Supervised Embeddings for Speech Enhancement","created":"2022-04-07","cited_by_count":24},{"id":"2008.04470","title":"PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss","created":"2020-08-11","cited_by_count":23},{"id":"2303.01664","title":"Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations","created":"2023-03-03","cited_by_count":22},{"id":"2210.01029","title":"WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration","created":"2022-10-03","cited_by_count":20},{"id":"2110.06467","title":"Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement","created":"2021-10-13","cited_by_count":18},{"id":"1901.09146","title":"End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization","created":"2019-01-26","cited_by_count":8},{"id":"2301.04388","title":"Perceive and predict: self-supervised speech representation based loss functions for speech enhancement","created":"2023-01-11","cited_by_count":8},{"id":"2206.13411","title":"Audio Similarity is Unreliable as a Proxy for Audio Quality","created":"2022-06-27","cited_by_count":7},{"id":"2305.14723","title":"Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss","created":"2023-05-24","cited_by_count":3},{"id":"2307.14502","title":"The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss Functions","created":"2023-07-27","cited_by_count":3},{"id":"2305.18739","title":"An empirical study on speech restoration guided by self supervised speech representation","created":"2023-05-30","cited_by_count":2}],"next_cursor":null}