{"url":"/task/resynthesis","name":"Resynthesis","slug":"resynthesis","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":51,"papers_with_code":18,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/librispeech","name":"LibriSpeech","full_name":"","num_papers_in_archive":2361},{"url":"/dataset/ljspeech","name":"LJSpeech","full_name":"The LJ Speech Dataset","num_papers_in_archive":323}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":18,"of":18,"tagged_in_all":51,"items":[{"url":"/paper/differentiable-time-frequency-scattering-in","title":"Differentiable Time-Frequency Scattering on GPU","date":"2022-04-18","arxiv_id":"2204.08269","repositories_listed":3,"syntology":null},{"url":"/paper/detecting-the-unexpected-via-image","title":"Detecting the Unexpected via Image Resynthesis","date":"2019-04-16","arxiv_id":"1904.07595","repositories_listed":3,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/speech-resynthesis-from-discrete-disentangled","title":"Speech Resynthesis from Discrete Disentangled Self-Supervised Representations","date":"2021-04-01","arxiv_id":"2104.00355","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/generative-spoken-language-modeling-from-raw","title":"Generative Spoken Language Modeling from Raw Audio","date":"2021-02-01","arxiv_id":"2102.01192","repositories_listed":2,"syntology":null},{"url":"/paper/spoken-language-modeling-with-duration","title":"Spoken Language Modeling with Duration-Penalized Self-Supervised Units","date":"2025-05-29","arxiv_id":"2505.23494","repositories_listed":1,"syntology":null},{"url":"/paper/ancogen-analysis-control-and-generation-of","title":"AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder","date":"2025-01-09","arxiv_id":"2501.05332","repositories_listed":1,"syntology":null},{"url":"/paper/emphassess-a-prosodic-benchmark-on-assessing","title":"EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models","date":"2023-12-21","arxiv_id":"2312.14069","repositories_listed":1,"syntology":null},{"url":"/paper/weakly-supervised-contrastive-learning-for-2","title":"Weakly-supervised Contrastive Learning for Unsupervised Object Discovery","date":"2023-07-07","arxiv_id":"2307.03376","repositories_listed":1,"syntology":null},{"url":"/paper/speaker-independent-acoustic-to-articulatory","title":"Speaker-Independent Acoustic-to-Articulatory Speech Inversion","date":"2023-02-14","arxiv_id":"2302.06774","repositories_listed":1,"syntology":null},{"url":"/paper/analysing-discrete-self-supervised-speech","title":"Analysing Discrete Self Supervised Speech Representation for Spoken Language Modeling","date":"2023-01-02","arxiv_id":"2301.00591","repositories_listed":1,"syntology":null},{"url":"/paper/a-perceptual-measure-for-evaluating-the","title":"A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions","date":"2022-02-24","arxiv_id":"2202.12257","repositories_listed":1,"syntology":null},{"url":"/paper/textless-lib-a-library-for-textless-spoken","title":"textless-lib: a Library for Textless Spoken Language Processing","date":"2022-02-15","arxiv_id":"2202.07359","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/dynamical-variational-autoencoders-a","title":"Dynamical Variational Autoencoders: A Comprehensive Review","date":"2020-08-28","arxiv_id":"2008.12595","repositories_listed":1,"syntology":null},{"url":"/paper/spectral-processing-of-covid-19-time-series","title":"Spectral Processing of COVID-19 Time-Series Data","date":"2020-08-13","arxiv_id":"2008.08039","repositories_listed":1,"syntology":null},{"url":"/paper/parametric-resynthesis-with-neural-vocoders","title":"Parametric Resynthesis with neural vocoders","date":"2019-06-16","arxiv_id":"1906.06762","repositories_listed":1,"syntology":null},{"url":"/paper/adversarial-mixup-resynthesizers","title":"On Adversarial Mixup Resynthesis","date":"2019-03-07","arxiv_id":"1903.02709","repositories_listed":1,"syntology":{"n":7,"n_ran":0,"n_unverified":7,"n_pointer_only":0}},{"url":"/paper/coordinate-based-texture-inpainting-for-pose","title":"Coordinate-based Texture Inpainting for Pose-Guided Image Generation","date":"2018-11-28","arxiv_id":"1811.11459","repositories_listed":1,"syntology":null},{"url":"/paper/unifying-probabilistic-models-for-time","title":"Unifying Probabilistic Models for Time-Frequency Analysis","date":"2018-11-06","arxiv_id":"1811.02489","repositories_listed":1,"syntology":null}],"syntology_records":4,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}