Better Readme

README.md

@@ -4,7 +4,7 @@
 [![PyPI version](https://badge.fury.io/py/inaSpeechSegmenter.svg)](https://badge.fury.io/py/inaSpeechSegmenter)
 [![Docker Pulls](https://img.shields.io/docker/pulls/inafoss/inaspeechsegmenter)](https://hub.docker.com/r/inafoss/inaspeechsegmenter)
 
-inaSpeechSegmenter is a CNN-based audio segmentation toolkit.
+inaSpeechSegmenter is a CNN-based audio segmentation toolkit suited to the tasks of Voice Activity Detection and Speaker Gender Segmentation.
 
 
 It splits audio signals into homogeneous zones of speech, music and noise.
@@ -13,10 +13,14 @@ Male and female classification models are optimized for French language since th
 Zones corresponding to speech over music or speech over noise are tagged as speech. 
 
 
-inaSpeechSegmenter has been designed in order to perform [large-scale gender equality studies](http://doi.org/10.18146/2213-0969.2018.jethc156) based on men and women speech-time percentage estimation.
-
 ## Highlights
-* [2018] : inaSpeechSegmenter won [MIREX 2018 speech detection challenge](http://www.music-ir.org/mirex/wiki/2018:Music_and_or_Speech_Detection_Results).
+* [2024] :star2: relationship between manual and automatic women representation descriptors are investigated in a [study presented in Interspeech 2024](https://arxiv.org/abs/2406.10316)
+* [2024] :trophy: ranked #1 against 6 open-source VAD system on a [French TV and radio benchmark](https://aclanthology.org/2024.lrec-main.785/) presented at LREC-Coling 2024
+* [2023] :transgender_symbol: New Feature [presented at Interspeech 2023](https://doi.org/10.21437/Interspeech.2023-1835) : a Non-Binary Voice Gender Prediction System for evaluating Transgender voice transition
+* [2020] :sunglasses: inaSpeechSegmenter is used in anual [French Audivisual Regulation Authority report](https://www.csa.fr/content/download/258234/762460/version/5/file/Rapport%20DDF%202019.pdf) on women representation in TV and radio!
+* [2018] :female_sign::male_sign: inaSpeechSegmenter has been used to perform [large-scale (700k+ hours) gender representation studies in French TV and radio](http://doi.org/10.18146/2213-0969.2018.jethc156) based on men and women speech-time percentage estimation.
+* [2018] :partying_face: inaSpeechSegmenter won [MIREX 2018 speech detection challenge](http://www.music-ir.org/mirex/wiki/2018:Music_and_or_Speech_Detection_Results).
+* [2018] :rocket: inaSpeechSegmenter has been presented at the [IEEE ICASSP 2018 conference](https://web.archive.org/web/20200510120139id_/https://hal.archives-ouvertes.fr/hal-01927560/file/ddoukhan_icassp_2018.pdf) in Calgary, Canada
 
 ## Installation
 
@@ -99,10 +103,8 @@ inaSpeechSegmenter has been presented at the IEEE International Conference on Ac
 }
 ```
 
-inaSpeechSegmenter won MIREX 2018 speech detection challenge.  
-http://www.music-ir.org/mirex/wiki/2018:Music_and_or_Speech_Detection_Results  
-Details on the speech detection submodule can be found bellow:  
-
+inaSpeechSegmenter won [MIREX 2018 speech detection challenge](http://www.music-ir.org/mirex/wiki/2018:Music_and_or_Speech_Detection_Results)
+Details on the speech detection submodule can be found bellow:
 
 ```bibtex
 @inproceedings{ddoukhanmirex2018,
@@ -113,6 +115,11 @@ Details on the speech detection submodule can be found bellow:
 }
 ```
 
+## Sibling Projects
+
+* [inaFaceAnalyzer](https://github.com/ina-foss/inaFaceAnalyzer) : a Python toolbox for large-scale face-based description of gender representation in media with limited gender, racial and age biases
+* [inaGVAD](https://github.com/ina-foss/InaGVAD) : a Challenging French TV and Radio Corpus annotated for Voice Activity Detection and Speaker Gender Segmentation
+
 
 ## CREDITS