Fine-Tuning a Pre-Trained Wav2Vec2 Model for Automatic Speech Recognition- Experiments with De Zahrar Sproche (2024.lrec-main)
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| Challenge: | Developing semi-automatic methods of transcription and annotation based on small amounts of annotated data would free field linguists to focus on tasks that are linguistically and relationally significant during fieldwork. |
| Approach: | They propose to use a pre-trained model to tune a generic pre-trainer model to reduce the transcription workload of field linguists. |
| Outcome: | The proposed system reduces the transcription workload of field linguists by averaging a pre-trained model with a language-specific tuning. |
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