{"repo":"Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020","free":true,"listed":false,"github":"https://github.com/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020","clone":"git clone https://github.com/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020.git","description":"Baseline Recipe for VoicePrivacy Challenge 2020: https://www.voiceprivacychallenge.org/vp2020/docs/VoicePrivacy_2020_Eval_Plan_v1_3.pdf","language":"Shell","stars":63,"topics":["privacy","anonymization","speech-processing","voice-privacy","voice-privacy-challenge","voice-conversion","mcadams","asr","tts","asv"],"license":null,"category":"self-hosted-apps","readme_excerpt":"Recipe for VoicePrivacy Challenge 2020 Please visit the challenge website for more information about the Challenge. Install 1. git clone --recurse-submodules https://github.com/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020.git 2. ./install.sh Running the recipe The recipe uses the pre-trained models of anonymization. To run the baseline system with evaluation: 1. cd baseline 2. run ./run.sh . In run.sh, to download models and data the user will be requested the password which is provided during the Challenge registration. General information For more details about the baseline and data, please see The VoicePrivacy 2020 Challenge Evaluation Plan For the latest updates in the baseline and evaluation scripts, please visit News and updates page The deadline to submit results has passed. To access the baseline models and development/evaluation data, please send an email to organisers@lists.voiceprivacychallenge.org with “VoicePrivacy-2020\" as the subject line. The mail body should include: (i) the name of the contact person; (ii) country; (iii) status (academic/nonacademic). Data Training data The dataset for anonymization system traing consists of subsets from the following corpora : LibriSpeech - train-clean-100, train-other-500 LibriTTS - train-clean-100, train-other-500 VoxCeleb 1 & 2 - all only specified subsets of these corpora can be used for training. Development and evaluation data VCTK - subsets vctk dev and vctk test are download from server in run.sh LibriSpeech","default_branch":null,"files":null,"tree":[],"storefront":"/r/Voice-Privacy-Challenge","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}