Fetching the paper…

Reading the bibliography…

2021

HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE

Das, Rohan Kumar, Tao, Ruijie, Li, Haizhou

Original
PDF
Post on X

Understand

This work provides a brief description of Human Language Technology (HLT) Laboratory, National University of Singapore (NUS) system submission for 2020 NIST conversational telephone speech (CTS) speaker recognition evaluation (SRE).

The challenge focuses on evaluation under CTS data containing multilingual speech.
The systems developed at HLT-NUS consider time-delay neural network (TDNN) x-vector and ECAPA-TDNN systems.
We also perform domain adaption of probabilistic linear discriminant analysis (PLDA) model and adaptive s-norm on our systems.

HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE · Around

Built on

“The bosaris toolkit: Theory, algorithms and code for surviving the new dcf,”
Original
Niko Brümmer and Edward De Villiers, · 2013
Earlier work this paper cites.
“MUSAN: A music, speech, and noise corpus,”
Original
D. Snyder, G. Chen, and D. Povey, · 2015
Earlier work this paper cites.
“Adam: A method for stochastic optimization,”
Diederik P. Kingma and Jimmy Ba, · 2015
Earlier work this paper cites.
“Deep neural network embeddings for text-independent speaker verification,”
D. Snyder, D. Garcia-Romero, D. Povey, and S. Khudanpur, · 2017
Earlier work this paper cites.

Similar

“A study on data augmentation of reverberant speech for robust speech recognition,”
T. Ko, V. Peddinti, D. Povey, M. L. Seltzer, and S. Khudanpur, · 2017
Cited alongside, same era.
“X-vectors: Robust DNN embeddings for speaker recognition,”
D. Snyder, D. Garcia-Romero, G. Sell, D. Povey, and S. Khudanpur, · 2018
Cited alongside, same era.
“VoxCeleb2: Deep speaker recognition,”
Joon Son Chung, Arsha Nagrani, and Andrew Zisserman, · 2018
Cited alongside, same era.
“SpecAugment: A simple data augmentation method for automatic speech recognition,”
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, and Quoc V. Le, · 2019
Cited alongside, same era.

Then

“ArcFace: Additive angular margin loss for deep face recognition,”
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou, · 2019
Later among the works it cites.
“NIST 2020 CTS Speaker Recognition Challenge Evaluation Plan”, NIST , Aug 2020
2020
Later among the works it cites.
“ECAPA-TDNN: Emphasized Channel Attention, propagation and aggregation in TDNN based speaker verification,”
Brecht Desplanques, Jenthe Thienpondt, and Kris Demuynck, · 2020
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…