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full_dataset_train_2_wav2vec2-large-xlsr-53-buckeye-ipa
ginic/full_dataset_train_2_wav2vec2-large-xlsr-53-buckeye-ipa
full_dataset_train_2_wav2vec2-large-xlsr-53-buckeye-ipa is a automatic speech recognition model from ginic. Use it when you need speech turned into text. The card lists the license as mit.
This model was created to support experiments for evaluating phonetic transcription with the Buckeye corpus as part of https://github.com/ginic/multipa. This is a version of facebook/wav2vec2-large-xlsr-53 fine tuned…
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At a glance
- Task
- Automatic Speech Recognition
- License
- mit
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 5, 2025
- Updated
- Sep 5, 2025
- SHA
- 1501a7e8
Model card
From the Hugging Face model README
About
This model was created to support experiments for evaluating phonetic transcription with the Buckeye corpus as part of https://github.com/ginic/multipa. This is a version of facebook/wav2vec2-large-xlsr-53 fine tuned on a specific subset of the Buckeye corpus. For details about specific model parameters, please view the config.json here or training scripts in the scripts/buckeye_experiments folder of the GitHub repository.
Experiment Details
The entire train split of the Buckeye corpus was used to train this model. The only data excluded are samples in the train split that are too short (< 0.1 seconds) or too long (>12 seconds) to be used to train the model
Goals:
- Include the largest amount of training data possible.
- Can be used with a different corpus (e.g. TIMIT, Speech Accent Archive) for evaluation to test generalization to other dialects and language varieties.
- Task
- Automatic Speech Recognition
- Type
- wav2vec2
- License
- mit
- Languages
- en
- Created
- Sep 5, 2025
- Updated
- Sep 5, 2025