GitHub - LuoDQ/supervised_ivectors: Using ASR posteriors instead of UBM posteriors to train i-vectors. Based on the idea proposed by Yun Lei et al., "A novel scheme for speaker recognition using a phonetically-aware deep neural network," ICASSP14

LuoDQ / supervised_ivectors Public

Using ASR posteriors instead of UBM posteriors to train i-vectors. Based on the idea proposed by Yun Lei et al., "A novel scheme for speaker recognition using a phonetically-aware deep neural network," ICASSP14

0 stars 6 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
kaldi_code		kaldi_code
lists		lists
matlab_code		matlab_code
py_code		py_code
README		README

Repository files navigation

This project is build the recently popularized idea of training ivectors using ASR posteriors. 

Original paper:
Yun Lei; Scheffer, N.; Ferrer, L.; McLaren, M., "A novel scheme for speaker recognition using a phonetically-aware deep neural network," in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on , vol., no., pp.1695-1699, 4-9 May 2014


The main project is on the CRSS cluster. But the original repo was built on my local machine. 

Required packages:
MSR_identity_toolkit --> For MATLAB experiments. 


Navid Shokouhi 
September 2015