Using automatic speech recognition to transcribe voice messages from African farmers
How do you gather qualitative information from thousands of people, quickly and at scale? That's a question Farm Radio International, a communication for development organization that uses interactive radio as its primary tool to reach and amplify the voices of rural Africans, has an answer to: On A...
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| Format: | Blog Post |
| Language: | Inglés |
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Communication Initiative
2024
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| Online Access: | https://hdl.handle.net/10568/152288 |
| _version_ | 1855538403347529728 |
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| author | Farm Radio International |
| author_browse | Farm Radio International |
| author_facet | Farm Radio International |
| author_sort | Farm Radio International |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | How do you gather qualitative information from thousands of people, quickly and at scale? That's a question Farm Radio International, a communication for development organization that uses interactive radio as its primary tool to reach and amplify the voices of rural Africans, has an answer to: On Air Dialogues. This on-air polling process uses Interactive Voice Response technology in tandem with Farm Radio's Uliza Interactive suite of services. Radio programs spark discussion about topics, then listeners call Uliza Interactive to leave their responses - both qualitative and quantitative - to questions. |
| format | Blog Post |
| id | CGSpace152288 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Communication Initiative |
| publisherStr | Communication Initiative |
| record_format | dspace |
| spelling | CGSpace1522882024-11-07T09:25:33Z Using automatic speech recognition to transcribe voice messages from African farmers Farm Radio International development radio climate change languages automation technology adoption How do you gather qualitative information from thousands of people, quickly and at scale? That's a question Farm Radio International, a communication for development organization that uses interactive radio as its primary tool to reach and amplify the voices of rural Africans, has an answer to: On Air Dialogues. This on-air polling process uses Interactive Voice Response technology in tandem with Farm Radio's Uliza Interactive suite of services. Radio programs spark discussion about topics, then listeners call Uliza Interactive to leave their responses - both qualitative and quantitative - to questions. 2024-03-06 2024-09-18T19:54:15Z 2024-09-18T19:54:15Z Blog Post https://hdl.handle.net/10568/152288 en https://www.cgiar.org/initiative-result/artificial-intelligence-enables-extension-services-reaching-12-million-farmers-in-sub-saharan-africa-to-respond-to-farmers-voices/ https://hdl.handle.net/10568/127005 Open Access Communication Initiative Farm Radio Internation. 2024. Using automatic speech recognition to transcribe voice messages from African farmers. Farm Radio International Blog first available online on March 6, 2024. The Communication Initiative. https://www.comminit.com/policy-blogs/content/using-automatic-speech-recognition-transcribe-voice-messages-african-farmers |
| spellingShingle | development radio climate change languages automation technology adoption Farm Radio International Using automatic speech recognition to transcribe voice messages from African farmers |
| title | Using automatic speech recognition to transcribe voice messages from African farmers |
| title_full | Using automatic speech recognition to transcribe voice messages from African farmers |
| title_fullStr | Using automatic speech recognition to transcribe voice messages from African farmers |
| title_full_unstemmed | Using automatic speech recognition to transcribe voice messages from African farmers |
| title_short | Using automatic speech recognition to transcribe voice messages from African farmers |
| title_sort | using automatic speech recognition to transcribe voice messages from african farmers |
| topic | development radio climate change languages automation technology adoption |
| url | https://hdl.handle.net/10568/152288 |
| work_keys_str_mv | AT farmradiointernational usingautomaticspeechrecognitiontotranscribevoicemessagesfromafricanfarmers |