{"id":18356082,"url":"https://github.com/audiolabs/sndb","last_synced_at":"2026-03-14T04:01:57.631Z","repository":{"id":79648449,"uuid":"146425389","full_name":"audiolabs/SNDB","owner":"audiolabs","description":"The Single Note Database, containing 30883 samples of 11 instruments from 4 datasets.","archived":false,"fork":false,"pushed_at":"2018-10-19T07:55:02.000Z","size":715,"stargazers_count":23,"open_issues_count":2,"forks_count":2,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-02-15T17:40:55.189Z","etag":null,"topics":["database","machine-learning"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/audiolabs.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-08-28T09:41:41.000Z","updated_at":"2024-11-29T01:51:56.000Z","dependencies_parsed_at":"2023-05-14T08:30:37.340Z","dependency_job_id":null,"html_url":"https://github.com/audiolabs/SNDB","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audiolabs%2FSNDB","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audiolabs%2FSNDB/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audiolabs%2FSNDB/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/audiolabs%2FSNDB/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/audiolabs","download_url":"https://codeload.github.com/audiolabs/SNDB/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248142569,"owners_count":21054665,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["database","machine-learning"],"created_at":"2024-11-05T22:08:55.834Z","updated_at":"2026-03-14T04:01:51.870Z","avatar_url":"https://github.com/audiolabs.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Single Note Database\n\nThe SNDB [1] contains of 30883 single tones from **4 datasets** [2-5] holding **11 orchestra instruments**: piano, violin, cello, contrabass, trumpet, trombone, horn, oboe, bassoon, clarinet and flute. There are **5 different dynamics** (pp, p, mf, f and ff) and **42 different articulations** which are explained more fully in the datasheets of the original databases [2,3,5].\n\n## Building\n\nPlease refer to [build/README.md](build/README.md) on how to create the SNDB out of the original datasets [2-5].\n\n## Usage\n\nThe file `SNDB.json` contains all items and their attributes:\n\n| artic   | db   | dyn   | instr   |   instr_nr | is_ot   |   midi |   multiples_nr | name                   | string   |\n|:--------|:-----|:------|:--------|-----------:|:--------|-------:|---------------:|:-----------------------|:---------|\n| np      | F    | f_    | Pia     |          1 | False   |     13 |              0 | 01Pia1F013f_np___0.wav | _        |\n| np      | F    | m_    | Pia     |          1 | False   |     13 |              0 | 01Pia1F013m_np___0.wav | _        |\n| sp      | R    | m_    | Cel     |          1 | False   |     51 |              0 | 03Cel1R051m_sp___0.wav | _        |\n| tr      | R    | m_    | Cel     |          1 | False   |     56 |              0 | 03Cel1R056m_tr___0.wav | _        |\n| sp      | R    | f_    | Cel     |          2 | False   |     77 |              0 | 03Cel2R077f_sp___0.wav | _        |\n| ...     | ...  | ...   | ...     |        ... | ...     |    ... |            ... | ...                    | ...      |\n\nAll attributes and their meaning are described in the accompanying paper [1].\n\nYou can read this file into Pandas using\n\n```python\nimport pandas as pd\n\ndf = pd.read_json('SNDB.json')\n```\n\n## References\n\n 1. E. F. Feichtner and B. Edler, “Description of the Single Note Database SNDB,” in Audio Engineering Society Convention 145, New York, NY, USA, 2018.\n 1. M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, “RWC music database: Music genre database and musical instrument sound database,” 2003.\n 1. F. Opolko and J. Wapnick, “Mcgill university master samples (MUMS). 11 cd-rom set,” Faculty of Music, McGill University, Montreal, Canada, 1989.\n 1. \"Vienna Symphonic Library Special Edition 1 \u0026 2,\" 2002.\n 1. L. Fritts, “University of Iowa musical instrument samples,” http://theremin.music.uiowa.edu/MIS.html, 1997.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faudiolabs%2Fsndb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faudiolabs%2Fsndb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faudiolabs%2Fsndb/lists"}