Augmenting Polish Automatic Speech Recognition System With Synthetic Data
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913568005292032 |
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| author | Bondaruk, Łukasz Kubiak, Jakub Czyżnikiewicz, Mateusz |
| author_facet | Bondaruk, Łukasz Kubiak, Jakub Czyżnikiewicz, Mateusz |
| contents | This paper presents a system developed for submission to Poleval 2024, Task 3: Polish Automatic Speech Recognition Challenge. We describe Voicebox-based speech synthesis pipeline and utilize it to augment Conformer and Whisper speech recognition models with synthetic data. We show that addition of synthetic speech to training improves achieved results significantly. We also present final results achieved by our models in the competition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_22903 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Augmenting Polish Automatic Speech Recognition System With Synthetic Data Bondaruk, Łukasz Kubiak, Jakub Czyżnikiewicz, Mateusz Audio and Speech Processing Sound This paper presents a system developed for submission to Poleval 2024, Task 3: Polish Automatic Speech Recognition Challenge. We describe Voicebox-based speech synthesis pipeline and utilize it to augment Conformer and Whisper speech recognition models with synthetic data. We show that addition of synthetic speech to training improves achieved results significantly. We also present final results achieved by our models in the competition. |
| title | Augmenting Polish Automatic Speech Recognition System With Synthetic Data |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2410.22903 |