- 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
Michael Treadgold