{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/expand-abbreviations","entry":"expand_abbreviations","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","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)"},"n_papers":10,"n_papers_ran":0,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":4,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":10,"n_places_pointer_only":0,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":4},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2503.01183","paper":"/paper/diffrhythm-blazingly-fast-and-embarrassingly","title":"DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion","date":"2025-03-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"aslp-lab/diffrhythm","path":"g2p/g2p/english.py","file_url":"https://github.com/aslp-lab/diffrhythm/blob/HEAD/g2p/g2p/english.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"31389a10319bd444","mcp_get_code":{"code_sha256":"31389a10319bd444"}},{"arxiv_id":"2312.01479","paper":"/paper/openvoice-versatile-instant-voice-cloning","title":"OpenVoice: Versatile Instant Voice Cloning","date":"2023-12-03","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"myshell-ai/openvoice","path":"openvoice/text/english.py","file_url":"https://github.com/myshell-ai/openvoice/blob/HEAD/openvoice/text/english.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}},{"arxiv_id":"2305.19709","paper":"/paper/xphonebert-a-pre-trained-multilingual-model","title":"XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech","date":"2023-05-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"vinairesearch/xphonebert","path":"VITS_with_XPhoneBERT/text/cleaners.py","file_url":"https://github.com/vinairesearch/xphonebert/blob/HEAD/VITS_with_XPhoneBERT/text/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}},{"arxiv_id":"2302.14534","paper":"/paper/spacerini-plug-and-play-search-engines-with","title":"Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face","date":"2023-02-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"cookiecutter/cookiecutter","path":"cookiecutter/repository.py","file_url":"https://github.com/cookiecutter/cookiecutter/blob/HEAD/cookiecutter/repository.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"7eaddd988c091a1a","mcp_get_code":{"code_sha256":"7eaddd988c091a1a"}},{"arxiv_id":"2108.02271","paper":"/paper/daft-exprt-robust-prosody-transfer-across","title":"Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis","date":null,"month_inferred_from_arxiv_id":"2021-08","title_source":"archive","repo":"ubisoft/ubisoft-laforge-daft-exprt","path":"src/daft_exprt/cleaners.py","file_url":"https://github.com/ubisoft/ubisoft-laforge-daft-exprt/blob/HEAD/src/daft_exprt/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}},{"arxiv_id":"2106.06103","paper":"/paper/conditional-variational-autoencoder-with","title":"Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech","date":null,"month_inferred_from_arxiv_id":"2021-06","title_source":"archive","repo":"jaywalnut310/glow-tts","path":"text/cleaners.py","file_url":"https://github.com/jaywalnut310/glow-tts/blob/HEAD/text/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}},{"arxiv_id":"2105.06337","paper":"/paper/grad-tts-a-diffusion-probabilistic-model-for","title":"Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech","date":"2021-05-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"WelkinYang/GradTTS","path":"text/cleaners.py","file_url":"https://github.com/WelkinYang/GradTTS/blob/HEAD/text/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}},{"arxiv_id":"2005.05957","paper":"/paper/flowtron-an-autoregressive-flow-based","title":"Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis","date":"2020-05-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"NVIDIA/flowtron","path":"text/cleaners.py","file_url":"https://github.com/NVIDIA/flowtron/blob/HEAD/text/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"21a7f5b332d5b72b","mcp_get_code":{"code_sha256":"21a7f5b332d5b72b"}},{"arxiv_id":"2005.01245","paper":"/paper/can-speaker-augmentation-improve-multi","title":"Can Speaker Augmentation Improve Multi-Speaker End-to-End TTS?","date":"2020-05-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"nii-yamagishilab/multi-speaker-tacotron","path":"synthesize_new_texts/datasets/cleaners.py","file_url":"https://github.com/nii-yamagishilab/multi-speaker-tacotron/blob/HEAD/synthesize_new_texts/datasets/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}},{"arxiv_id":"1703.10135","paper":"/paper/tacotron-towards-end-to-end-speech-synthesis","title":"Tacotron: Towards End-to-End Speech Synthesis","date":"2017-03-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"keithito/tacotron","path":"text/cleaners.py","file_url":"https://github.com/keithito/tacotron/blob/HEAD/text/cleaners.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cea1f83e9db28ed8","mcp_get_code":{"code_sha256":"cea1f83e9db28ed8"}}]}