axelspringer/DeepPhonemizer
A PyTorch-based library that converts written text (graphemes) to phonetic representations (phonemes) using Transformer models.
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DeepPhonemizer implements Transformer-based models for grapheme-to-phoneme conversion, supporting both CTC-trained forward Transformers and autoregressive variants. The library provides training and inference APIs, supports multilingual training, and is optimized for deployment in text-to-speech production systems. It handles IPA phoneme output and includes pretrained models for English.
Frequently asked
- What is axelspringer/DeepPhonemizer?
- A PyTorch-based library that converts written text (graphemes) to phonetic representations (phonemes) using Transformer models.
- Is DeepPhonemizer open source?
- Yes — axelspringer/DeepPhonemizer is open source, released under the MIT license.
- What language is DeepPhonemizer written in?
- axelspringer/DeepPhonemizer is primarily written in Python.
- How popular is DeepPhonemizer?
- axelspringer/DeepPhonemizer has 428 stars on GitHub.
- Where can I find DeepPhonemizer?
- axelspringer/DeepPhonemizer is on GitHub at https://github.com/axelspringer/DeepPhonemizer.