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README.md

@@ -16,13 +16,11 @@ license: cc-by-4.0
 
 LJSpeech dataset of GLaDOS (Portal 2) (en).
 - **982** pairs
-- 16kHz mono 16-bit PCM WAV
+- 44.1kHz mono 16-bit PCM WAV (original wiki quality)
 
 ## Piper TTS Training (High Quality on T4 GPU)
 
-This dataset is ready for Piper TTS training. Recommended parameters:
-
-### Preprocessing
+### Preprocessing (downsample to 22.05kHz)
 ```sh
 python3 -m piper_train.preprocess \
   --language en-us \
@@ -49,9 +47,3 @@ python3 -m piper_train \
   --precision 32 \
   --max-phoneme-ids 400
 ```
-
-- **Quality**: `high` (22,050 Hz, larger voice model, better quality)
-- **Batch size**: 16 fits T4 16GB VRAM at high quality
-- **Precision**: 32 (full precision, T4 backward pass is slow with 16-mixed for VITS)
-- **Fine-tune**: from an existing Piper checkpoint (same quality/rate)
-- **Max phoneme ids**: 400 filters very long sentences to fit VRAM