Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting
During the past decades, a vast amount of audio data has be- come available in most languages and regions of the world. The efficient organization and manipulation of this data are important for tasks such as data classification, searching for information, diarization among many others, but also ca...
| Main Authors: | , |
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| Format: | Article |
| Language: | Spanish |
| Published: |
Instituto Tecnológico de Costa Rica
2022-11-01
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| Series: | Tecnología en Marcha |
| Subjects: | |
| Online Access: | https://172.20.14.50/index.php/tec_marcha/article/view/6463 |
| _version_ | 1827786545496588288 |
|---|---|
| author | Joseline Sánchez-Solís Marvin Coto-Jiménez |
| author_facet | Joseline Sánchez-Solís Marvin Coto-Jiménez |
| author_sort | Joseline Sánchez-Solís |
| collection | DOAJ |
| description |
During the past decades, a vast amount of audio data has be- come available in most languages and regions of the world. The efficient organization and manipulation of this data are important for tasks such as data classification, searching for information, diarization among many others, but also can be relevant for building corpora for training models for automatic speech recognition or building speech synthesis systems. Several of those tasks require extensive testing and data for specific languages and accents, especially when the development of communication systems with machines is a goal. In this work, we explore the application of several classifiers for the task of discriminating speech and music in Costa Rican radio broadcast. This discrimination is a first task in the exploration of a large corpus, to determine whether or not the available information is useful for particular research areas. The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems.
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| first_indexed | 2024-03-11T16:36:47Z |
| format | Article |
| id | doaj.art-101ef310da5b4fe2acb12c110b79c9b9 |
| institution | Directory Open Access Journal |
| issn | 0379-3982 2215-3241 |
| language | Spanish |
| last_indexed | 2024-03-11T16:36:47Z |
| publishDate | 2022-11-01 |
| publisher | Instituto Tecnológico de Costa Rica |
| record_format | Article |
| series | Tecnología en Marcha |
| spelling | doaj.art-101ef310da5b4fe2acb12c110b79c9b92023-10-23T14:27:32ZspaInstituto Tecnológico de Costa RicaTecnología en Marcha0379-39822215-32412022-11-0135810.18845/tm.v35i8.6463Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcastingJoseline Sánchez-SolísMarvin Coto-Jiménez During the past decades, a vast amount of audio data has be- come available in most languages and regions of the world. The efficient organization and manipulation of this data are important for tasks such as data classification, searching for information, diarization among many others, but also can be relevant for building corpora for training models for automatic speech recognition or building speech synthesis systems. Several of those tasks require extensive testing and data for specific languages and accents, especially when the development of communication systems with machines is a goal. In this work, we explore the application of several classifiers for the task of discriminating speech and music in Costa Rican radio broadcast. This discrimination is a first task in the exploration of a large corpus, to determine whether or not the available information is useful for particular research areas. The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems. https://172.20.14.50/index.php/tec_marcha/article/view/6463Classificationmusicradio broadcastingspeech |
| spellingShingle | Joseline Sánchez-Solís Marvin Coto-Jiménez Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting Tecnología en Marcha Classification music radio broadcasting speech |
| title | Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting |
| title_full | Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting |
| title_fullStr | Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting |
| title_full_unstemmed | Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting |
| title_short | Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting |
| title_sort | comparison of four classifiers for speech music discrimination a first case study for costa rican radio broadcasting |
| topic | Classification music radio broadcasting speech |
| url | https://172.20.14.50/index.php/tec_marcha/article/view/6463 |
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