Instructions to use speech31/XLS-R-tamil-phoneme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-tamil-phoneme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-tamil-phoneme")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-tamil-phoneme") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-tamil-phoneme") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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This model is fine-tuned on the Tamil dataset from Common Voice 16.1, preprocessed using Epitran for transliterating text into IPA. The 'tam-Taml' code was employed to generate a precise phoneme list, crucial for capturing the nuances of Tamil phonetics:
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* Vowels: 'a', 'aj', 'aʋ', 'aː', 'e', 'eː', 'i', 'iː', 'o', 'oː', 'u', 'uː'
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* Consonants:
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* Nasals: 'm', 'n', 'n̪', 'ŋ', 'ɲ', 'ɳ'
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* Stops: 'p', 't̪', 'ʈ', 'k',
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* Affricates: 'd͡ʒ', 't͡ʃ'
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* Fricatives: 'ʋ', 's', 'ʂ', 'ʃ', 'h'
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* Approximants: 'j', 'ɻ', 'ɾ', 'l', 'ɭ'
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* Consonant cluster: 'kʂ'
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* Special Symbols: '்' (denotes absence of inherent vowel)
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