MagTapeDB : A dataset of historical magnetic tape recordings
Resumen:
We present a novel dataset designed to support the development and evaluation of audio restoration techniques focused on historical music recordings. The dataset comprises over 800 audio excerpts, including musicological tape recordings, isolated tape hiss segments, and pitchpipe tones used as tuning references. Each fragment is annotated with metadata such as instrument presence, year of recording, and tape reel number. The dataset enables a variety of restoration-related tasks, including denoising, noise profiling, instrument detection, and segmentation. We also provide baseline results for denoising using state-of-the-art deep learning models and demonstrate an application for playback speed correction using Electrical Network Frequency (ENF) analysis. Our goal is to contribute to the preservation of audio heritage by facilitating reproducible research and benchmarking in music restoration.
| 2025 | |
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Esta investigación fue financiada por la Comisión Sectorial de Investigación Científica (CSIC) de la Universidad de la República de Uruguay. Luiz Biscainho agradece el apoyo del Consejo Nacional de Desarrollo Científico y Tecnológico (CNPq) de Brasil. |
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Audio restoration Magnetic tape Cultural heritage Deep learning Denoising Electrical Network Frequency Dataset |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/53937 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1872864820724760576 |
|---|---|
| author | Irigaray, Ignacio |
| author2 | Martínez, Emilio Silvera Coeff, Diego Biscainho, Luiz W. P. |
| author2_role | author author author |
| author_facet | Irigaray, Ignacio Martínez, Emilio Silvera Coeff, Diego Biscainho, Luiz W. P. |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Irigaray Ignacio, Universidad de la República (Uruguay). Facultad de Ingeniería. Martínez Emilio, Universidad de la República (Uruguay). Facultad de Ingeniería. Silvera Coeff Diego, Universidad de la República (Uruguay). Facultad de Ingeniería. Biscainho Luiz W. P., Universidad Federal do Rio de Janeiro, Brazil |
| dc.coverage.spatial.es.fl_str_mv | Uruguay |
| dc.creator.none.fl_str_mv | Irigaray, Ignacio Martínez, Emilio Silvera Coeff, Diego Biscainho, Luiz W. P. |
| dc.date.accessioned.none.fl_str_mv | 2026-03-18T16:08:04Z |
| dc.date.available.none.fl_str_mv | 2026-03-18T16:08:04Z |
| dc.date.issued.none.fl_str_mv | 2025 |
| dc.description.abstract.none.fl_txt_mv | We present a novel dataset designed to support the development and evaluation of audio restoration techniques focused on historical music recordings. The dataset comprises over 800 audio excerpts, including musicological tape recordings, isolated tape hiss segments, and pitchpipe tones used as tuning references. Each fragment is annotated with metadata such as instrument presence, year of recording, and tape reel number. The dataset enables a variety of restoration-related tasks, including denoising, noise profiling, instrument detection, and segmentation. We also provide baseline results for denoising using state-of-the-art deep learning models and demonstrate an application for playback speed correction using Electrical Network Frequency (ENF) analysis. Our goal is to contribute to the preservation of audio heritage by facilitating reproducible research and benchmarking in music restoration. |
| dc.description.sponsorship.none.fl_txt_mv | Esta investigación fue financiada por la Comisión Sectorial de Investigación Científica (CSIC) de la Universidad de la República de Uruguay. Luiz Biscainho agradece el apoyo del Consejo Nacional de Desarrollo Científico y Tecnológico (CNPq) de Brasil. |
| dc.format.extent.es.fl_str_mv | 7 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Irigaray, I., Martínez, E., Silvera Coeff, D. y otros. MagTapeDB : A dataset of historical magnetic tape recordings [en línea]. EN: 2025 15th IEEE International Conference on Pattern Recognition Systems (ICPRS), Viña del Mar, Valparaiso, Chile, 01-04 dec. 2025, pp. 1-7. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/53937 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.relation.none.fl_str_mv | 2025 15th IEEE International Conference on Pattern Recognition Systems (ICPRS), Viña del Mar, Valparaiso, Chile, 01-04 dec. 2025, pp. 1-7. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Audio restoration Magnetic tape Cultural heritage Deep learning Denoising Electrical Network Frequency Dataset |
| dc.title.none.fl_str_mv | MagTapeDB : A dataset of historical magnetic tape recordings |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | We present a novel dataset designed to support the development and evaluation of audio restoration techniques focused on historical music recordings. The dataset comprises over 800 audio excerpts, including musicological tape recordings, isolated tape hiss segments, and pitchpipe tones used as tuning references. Each fragment is annotated with metadata such as instrument presence, year of recording, and tape reel number. The dataset enables a variety of restoration-related tasks, including denoising, noise profiling, instrument detection, and segmentation. We also provide baseline results for denoising using state-of-the-art deep learning models and demonstrate an application for playback speed correction using Electrical Network Frequency (ENF) analysis. Our goal is to contribute to the preservation of audio heritage by facilitating reproducible research and benchmarking in music restoration. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_f2ab26df63a87bd68292c3877ec1fc5d |
| identifier_str_mv | Irigaray, I., Martínez, E., Silvera Coeff, D. y otros. MagTapeDB : A dataset of historical magnetic tape recordings [en línea]. EN: 2025 15th IEEE International Conference on Pattern Recognition Systems (ICPRS), Viña del Mar, Valparaiso, Chile, 01-04 dec. 2025, pp. 1-7. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/53937 |
| publishDate | 2025 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Irigaray Ignacio, Universidad de la República (Uruguay). Facultad de Ingeniería.Martínez Emilio, Universidad de la República (Uruguay). Facultad de Ingeniería.Silvera Coeff Diego, Universidad de la República (Uruguay). Facultad de Ingeniería.Biscainho Luiz W. P., Universidad Federal do Rio de Janeiro, BrazilUruguay2026-03-18T16:08:04Z2026-03-18T16:08:04Z2025Irigaray, I., Martínez, E., Silvera Coeff, D. y otros. MagTapeDB : A dataset of historical magnetic tape recordings [en línea]. EN: 2025 15th IEEE International Conference on Pattern Recognition Systems (ICPRS), Viña del Mar, Valparaiso, Chile, 01-04 dec. 2025, pp. 1-7.https://hdl.handle.net/20.500.12008/53937We present a novel dataset designed to support the development and evaluation of audio restoration techniques focused on historical music recordings. The dataset comprises over 800 audio excerpts, including musicological tape recordings, isolated tape hiss segments, and pitchpipe tones used as tuning references. Each fragment is annotated with metadata such as instrument presence, year of recording, and tape reel number. The dataset enables a variety of restoration-related tasks, including denoising, noise profiling, instrument detection, and segmentation. We also provide baseline results for denoising using state-of-the-art deep learning models and demonstrate an application for playback speed correction using Electrical Network Frequency (ENF) analysis. Our goal is to contribute to the preservation of audio heritage by facilitating reproducible research and benchmarking in music restoration.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2026-03-16T18:16:34Z No. of bitstreams: 2 license_rdf: 27293 bytes, checksum: d62648cf14c1e37917d392ac87012955 (MD5) IMSB25.pdf: 6703250 bytes, checksum: 53edb1046ae4ec30c7a46dbfe5e0a5ed (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2026-03-17T16:39:47Z (GMT) No. of bitstreams: 2 license_rdf: 27293 bytes, checksum: d62648cf14c1e37917d392ac87012955 (MD5) IMSB25.pdf: 6703250 bytes, checksum: 53edb1046ae4ec30c7a46dbfe5e0a5ed (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2026-03-18T16:08:04Z (GMT). No. of bitstreams: 2 license_rdf: 27293 bytes, checksum: d62648cf14c1e37917d392ac87012955 (MD5) IMSB25.pdf: 6703250 bytes, checksum: 53edb1046ae4ec30c7a46dbfe5e0a5ed (MD5) Previous issue date: 2025Esta investigación fue financiada por la Comisión Sectorial de Investigación Científica (CSIC) de la Universidad de la República de Uruguay.Luiz Biscainho agradece el apoyo del Consejo Nacional de Desarrollo Científico y Tecnológico (CNPq) de Brasil.7 p.application/pdfeneng2025 15th IEEE International Conference on Pattern Recognition Systems (ICPRS), Viña del Mar, Valparaiso, Chile, 01-04 dec. 2025, pp. 1-7.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Audio restorationMagnetic tapeCultural heritageDeep learningDenoisingElectrical Network FrequencyDatasetMagTapeDB : A dataset of historical magnetic tape recordingsPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaIrigaray, IgnacioMartínez, EmilioSilvera Coeff, DiegoBiscainho, Luiz W. 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públicahttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestkarina.camps@seciu.edu.uyUruguayopendoar:47712026-03-18T16:08:04COLIBRI - Universidad de la Repúblicafalse |
| spellingShingle | MagTapeDB : A dataset of historical magnetic tape recordings Irigaray, Ignacio Audio restoration Magnetic tape Cultural heritage Deep learning Denoising Electrical Network Frequency Dataset |
| status_str | publishedVersion |
| title | MagTapeDB : A dataset of historical magnetic tape recordings |
| title_full | MagTapeDB : A dataset of historical magnetic tape recordings |
| title_fullStr | MagTapeDB : A dataset of historical magnetic tape recordings |
| title_full_unstemmed | MagTapeDB : A dataset of historical magnetic tape recordings |
| title_short | MagTapeDB : A dataset of historical magnetic tape recordings |
| title_sort | MagTapeDB : A dataset of historical magnetic tape recordings |
| topic | Audio restoration Magnetic tape Cultural heritage Deep learning Denoising Electrical Network Frequency Dataset |
| url | https://hdl.handle.net/20.500.12008/53937 |
