README.md: updating readme to explicitly mention that mel representation of WaveNet and Tacotron2 must be the same

README.md

@@ -38,9 +38,13 @@ wavenet](https://github.com/r9y9/wavenet_vocoder/)
 1. `python -m multiproc train.py --output_directory=outdir --log_directory=logdir --hparams=distributed_run=True,fp16_run=True`
 
 ## Inference
+When performing Mel-Spectrogram to Audio synthesis with a WaveNet model, make sure Tacotron 2 and WaveNet were trained on the same mel-spectrogram representation. Follow these steps to use a a simple inference pipeline using griffin-lim:
+
 1. `jupyter notebook --ip=127.0.0.1 --port=31337`
 2. load inference.ipynb 
 
+
+
 ## Related repos
 [nv-wavenet](https://github.com/NVIDIA/nv-wavenet/): Faster than real-time
 wavenet inference