Add Diar-az

Add Diar-az

README.md

@@ -278,6 +278,7 @@ Team in the Inaugural DIHARD Challenge](https://www.isca-speech.org/archive/pdfs
 | ---- | -------- | ----------- |
 | [VB Diarization](https://github.com/wq2012/VB_diarization) ![GitHub stars](https://img.shields.io/github/stars/wq2012/VB_diarization?style=social) [![Build Status](https://travis-ci.org/wq2012/VB_diarization.svg?branch=master)](https://travis-ci.org/wq2012/VB_diarization) | Python | VB Diarization with Eigenvoice and HMM Priors. |
 | [DOVER-Lap](https://github.com/desh2608/dover-lap) ![GitHub stars](https://img.shields.io/github/stars/desh2608/dover-lap?style=social) | Python | Python package for combining diarization system outputs |
+| [Diar-az](https://github.com/cadia-lvl/diar-az) | Python | Data formatting tool to support the ruv-di dataset. Kaldi to Gecko to Kaldi and corpus and back |  |
 
 ## Datasets
 
@@ -295,6 +296,7 @@ Team in the Inaugural DIHARD Challenge](https://www.isca-speech.org/archive/pdfs
 | [VoxConverse](https://github.com/joonson/voxconverse) | TBD | TBD | Free | VoxConverse is an audio-visual diarisation dataset consisting of over 50 hours of multispeaker clips of human speech, extracted from YouTube videos |
 | [MiniVox Benchmark](https://github.com/doerlbh/MiniVox) | [MiniVox Benchmark](https://github.com/doerlbh/MiniVox) | en | Free | MiniVox is an automatic framework to transform any speaker-labelled dataset into continuous speech datastream with episodically revealed label feedbacks. |
 | [The AliMeeting Corpus](https://github.com/yufan-aslp/AliMeeting) | Together with audios | zh | Free |  |
+| RÚV-DI dataset | TBD | is | TBD | | 
 
 ### Speaker embedding training sets