Michael Treadgold
6e1da4ddfb
- inflect_nano/train_smooth.py: enhanced training with multi-res STFT loss, adversarial mel discriminator, vocoder consistency loss, deeper residual postnet, and cosine LR schedule - preprocess_dataset.py: convert HF datasets, local dirs, or LJSpeech CSVs to the durations.jsonl format needed by training - inference.py: add --smooth-prosody, --mel-smooth-sigma, --lowpass-hz flags for zero-cost inference-time quality improvements - test_inference.py: smoke tests for model loading and synthesis - colab_smooth_finetune.ipynb: Colab notebook for T4 GPU fine-tuning - requirements.txt: add numba, scipy, datasets
11 lines
81 B
Plaintext
11 lines
81 B
Plaintext
torch
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torchaudio
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soundfile
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numpy
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g2p_en
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transformers
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gradio
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numba
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scipy
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datasets
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