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.