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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.16834 |
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| _version_ | 1866916858120110080 |
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| author | Madden, Jordan Stone, Matthew Johnson, Dimitri Geddez, Daniel |
| author_facet | Madden, Jordan Stone, Matthew Johnson, Dimitri Geddez, Daniel |
| contents | Although Jamaican Patois is a widely spoken language, current speech recognition systems perform poorly on Patois music, producing inaccurate captions that limit accessibility and hinder downstream applications. In this work, we take a data-centric approach to this problem by curating more than 40 hours of manually transcribed Patois music. We use this dataset to fine-tune state-of-the-art automatic speech recognition (ASR) models, and use the results to develop scaling laws for the performance of Whisper models on Jamaican Patois audio. We hope that this work will have a positive impact on the accessibility of Jamaican Patois music and the future of Jamaican Patois language modeling. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_16834 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Robust Speech Recognition for Jamaican Patois Music Transcription Madden, Jordan Stone, Matthew Johnson, Dimitri Geddez, Daniel Audio and Speech Processing Artificial Intelligence Computation and Language Although Jamaican Patois is a widely spoken language, current speech recognition systems perform poorly on Patois music, producing inaccurate captions that limit accessibility and hinder downstream applications. In this work, we take a data-centric approach to this problem by curating more than 40 hours of manually transcribed Patois music. We use this dataset to fine-tune state-of-the-art automatic speech recognition (ASR) models, and use the results to develop scaling laws for the performance of Whisper models on Jamaican Patois audio. We hope that this work will have a positive impact on the accessibility of Jamaican Patois music and the future of Jamaican Patois language modeling. |
| title | Towards Robust Speech Recognition for Jamaican Patois Music Transcription |
| topic | Audio and Speech Processing Artificial Intelligence Computation and Language |
| url | https://arxiv.org/abs/2507.16834 |