diff --git a/README.md b/README.md index 180dee3..d6d049c 100644 --- a/README.md +++ b/README.md @@ -3,9 +3,9 @@ A Tensorflow implementation of [SampleRNN: An Unconditional End-to-End Neural Audio Generation Model](https://arxiv.org/abs/1612.07837). ## Requirements -- Tensroflow 1.0 -- Python 2.7 -- Librosa   +- Tensroflow 1.0(https://www.tensorflow.org/) +- Python 2.7(https://www.python.org/download/releases/2.7/) +- Librosa(https://librosa.org/)   ## Dataset   We used the pinao music of 74 minutes as the training corpus, and you can use any corpus containing ".wav" files to instead as well. For Mandarin samples, we used human voice of 6 hours as the training corpus .