Pinned Repositories
asteroid
Pytorch-based audio source separation toolkit || Current highlight : the new recipe for Microsoft's DNS Challenge !
DNS-Challenge
This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.
docs
TensorFlow documentation
end-to-end-lipreading
Pytorch code for End-to-End Audiovisual Speech Recognition
MS-SNSD
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
pase
Problem Agnostic Speech Encoder
python-pesq
A python package for calculating the PESQ.
DNS-Challenge
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
MS-SNSD
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
chandanka90's Repositories
chandanka90/python-pesq
A python package for calculating the PESQ.
chandanka90/asteroid
Pytorch-based audio source separation toolkit || Current highlight : the new recipe for Microsoft's DNS Challenge !
chandanka90/DNS-Challenge
This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.
chandanka90/docs
TensorFlow documentation
chandanka90/MS-SNSD
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
chandanka90/end-to-end-lipreading
Pytorch code for End-to-End Audiovisual Speech Recognition
chandanka90/pase
Problem Agnostic Speech Encoder