{"data":{"slug":"coqui-ai-open-speech-corpora","name":"open-speech-corpora","tagline":"💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies","github_url":"https://github.com/coqui-ai/open-speech-corpora","owner":"coqui-ai","repo":"open-speech-corpora","owner_avatar_url":"https://avatars.githubusercontent.com/u/75583352?v=4","primary_language":null,"stars":1397,"forks":150,"topics":["speech-emotion-recognition","speech-processing","speech-recognition","speech-separation","speech-synthesis","speech-to-text","stt","text-to-speech","tts","voice-activity-detection","voice-cloning","voice-recognition"],"archived":false,"github_pushed_at":"2024-06-06T11:33:44+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/coqui-ai-open-speech-corpora","markdown_url":"https://www.graphcanon.com/tools/coqui-ai-open-speech-corpora.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/coqui-ai-open-speech-corpora","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=coqui-ai-open-speech-corpora","description":"💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies","homepage_url":null,"license":"MIT","open_issues":169,"watchers":56,"ai_summary":null,"readme_excerpt":"## 📜 [GNU General Public License](https://www.gnu.org/licenses/gpl.html)\n\n| CORPUS | LANGUAGES | # HOURS | # SPEAKERS | DOWNLOAD | LICENSE |\n| --- | --- | --- | --- | --- | --- |\n| VoxForge | English | ~120 hours | ~2966 speakers | <http://www.repository.voxforge1.org/downloads/en/Trunk/Audio/Main/16kHz_16bit/> <https://voice.mozilla.org/en/datasets> | GNU-GPL 3.0 |\n| VoxForge | Russian |  | | <http://www.repository.voxforge1.org/downloads/ru/Trunk/Audio/Main/16kHz_16bit/> <http://www.repository.voxforge1.org/downloads/Russian/Trunk/Audio/Main/16kHz_16bit/>| GNU-GPL 3.0 |\n| VoxForge | German |  | | <http://www.repository.voxforge1.org/downloads/de/Trunk/Audio/Main/16kHz_16bit/> | GNU-GPL 3.0 |\n\n---\n\n## 📜 [Apache License](https://www.apache.org/licenses/LICENSE-2.0)\n\n| CORPUS | LANGUAGES | # HOURS | # SPEAKERS | DOWNLOAD | LICENSE |\n| --- | --- | --- | --- | --- | --- |\n| AISHELL-1 | Mandarin | 170 hours | 400 speakers | <http://www.openslr.org/33/> | Apache 2.0 |\n| Tunisian_MSA | Modern Standard Arabic (Tunisia) | 11.2 hours | 118 speakers | <http://www.openslr.org/46/> | Apache 2.0 |\n| African Accented French | French | 22 hours | 232 speakers | <http://www.openslr.org/57/> | Apache 2.0 |\n| THCHS-30 | Mandarin Chinese | 33.57 hours (13,389 utterances) | 40 speakers (31 female; 9 male) | <http://www.openslr.org/18/> | Apache 2.0 |\n| Living Audio Dataset - Dutch | Dutch | 57:49 min | 1 speaker | <https://github.com/Idlak/Living-Audio-Dataset> | Apache 2.0 |\n| Living Audio Dataset - English | English | 50:50 min | 1 speaker | <https://github.com/Idlak/Living-Audio-Dataset> | Apache 2.0 |\n| Living Audio Dataset - Irish | Irish | 61:56 min | 1 speaker | <https://github.com/Idlak/Living-Audio-Dataset> | Apache 2.0 |\n| Living Audio Dataset - Russian | Russian | 34:58 min | 1 speaker | <https://github.com/Idlak/Living-Audio-Dataset> | Apache 2.0 |\n\n---\n\n## 📜 [MIT License](https://opensource.org/licenses/MIT)\n\n| CORPUS | LANGUAGES | # HOURS | # SPEAKERS | DOWNLOAD | LICENSE |\n| --- | --- | --- | --- | --- | --- |\n| ALFFA | Amharic;Hausa (paid); Swahili; Wolof |  |  | <http://www.openslr.org/25/> <https://github.com/besacier/ALFFA_PUBLIC> | MIT |\n\n---\n\n## 📜 [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause)\n\n\n| CORPUS | LANGUAGES | # HOURS | # SPEAKERS | DOWNLOAD | LICENSE |\n| --- | --- | --- | --- | --- | --- |\n| M-AILABS German Corpus | German | 237 hours and 22 minutes |  | <http://www.caito.de/data/Training/stt_tts/de_DE.tgz> | [M-AILABS LICENSE](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/) (a data-specific [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause))|\n| M-AILABS Queen's English Corpus | Queen's English | 45 hours and 35 minutes |  | <http://www.caito.de/data/Training/stt_tts/en_UK.tgz> | [M-AILABS LICENSE](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/) (a data-specific [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause))|\n| M-AILABS US English Corpus | American English | 102 hours and 7 minutes |  | <http://www.caito.de/data/Training/stt_tts/en_US.tgz> | [M-AILABS LICENSE](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/) (a data-specific [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause))|\n| M-AILABS Spanish Corpus | Spanish Spanish | 108 hours and 34 minutes |  | <http://www.caito.de/data/Training/stt_tts/es_ES.tgz> | [M-AILABS LICENSE](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/) (a data-specific [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause))|\n| M-AILABS Italian Corpus | Italian | 127 hours and 40 minutes |  | <http://www.caito.de/data/Training/stt_tts/it_IT.tgz> | [M-AILABS LICENSE](https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/) (a data-specific [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause))|\n| M-AILABS Ukrainian Corpus | Ukrainian | 87 hours and 8 minutes |  | <http://www.caito.de/data/Training/stt_tts/uk_UK.tgz> | [M-AILABS LICENSE](https:","github_created_at":"2019-01-31T14:57:39+00:00","created_at":"2026-07-11T12:11:32.710144+00:00","updated_at":"2026-07-11T12:11:48.81841+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"speech-audio","name":"Speech & Audio","url":"https://www.graphcanon.com/categories/speech-audio","markdown_url":"https://www.graphcanon.com/categories/speech-audio.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/speech-audio"}],"tags":[{"slug":"speech-emotion-recognition","name":"speech-emotion-recognition"},{"slug":"speech-processing","name":"speech-processing"},{"slug":"speech-recognition","name":"speech-recognition"},{"slug":"speech-separation","name":"speech-separation"},{"slug":"speech-synthesis","name":"speech-synthesis"},{"slug":"speech-to-text","name":"speech-to-text"},{"slug":"stt","name":"stt"},{"slug":"text-to-speech","name":"text-to-speech"}],"trust":{"provenance":{"is_fork":false,"github_id":168543012,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:11:33.411Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":765,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:11:39.414Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:11:39.133Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T12:11:39.133Z"}}}}