diff --git a/README.rst b/README.rst index 5c43e1e..63eca56 100644 --- a/README.rst +++ b/README.rst @@ -14,7 +14,7 @@ nara_wpe :target: https://raw.githubusercontent.com/fgnt/nara_wpe/master/LICENSE :alt: MIT License -Different implementations of "Weighted Prediction Error" for speech dereverberation: +Different implementations of "Weighted Prediction Error" for speech dereverberation ==================================================================================== Yoshioka, Takuya, and Tomohiro Nakatani. "Generalization of multi-channel linear prediction methods for blind MIMO impulse response shortening." IEEE Transactions on Audio, Speech, and Language Processing 20.10 (2012): 2707-2720. @@ -36,15 +36,15 @@ Alternatively, if you just want to run it, install it directly with Pip from Git pip install git+https://github.com/fgnt/nara_wpe.git Check the example notebook for further details. -If you download the example notebook, you can listen to the audio examples of input and dereverberated output, too. +If you download the example notebook, you can listen to the input audio examples and to the dereverberated output too. You can find some documentation here: `nara-wpe.readthedocs.io `_. -Development history: +Development history ==================== -Since 2017-09-05 a TensorFlow implementation is added to `nara_wpe`. It is tested with a few test cases against the Numpy implementation. +Since 2017-09-05 a TensorFlow implementation has been added to `nara_wpe`. It has been tested with a few test cases against the Numpy implementation. The first version of the Numpy implementation was written in June 2017 while Lukas Drude and Kateřina Žmolíková resided in Nara, Japan. The aim was to have a publicly available implementation of Takuya Yoshioka's 2012 paper.