32 citations · 55 across the 5 of their papers we have counts for
6 papers
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification
Achintya kr. Sarkar, Zheng-Hua Tan, Hao Tang +2
There are a number of studies about extraction of bottleneck (BN) features from deep neural networks (DNNs)trained to discriminate speakers, pass-phrases and triphone states for im…
MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge
Suwon Shon, Ahmed Ali, James Glass
In order to successfully annotate the Arabic speech con- tent found in open-domain media broadcasts, it is essential to be able to process a diverse set of Arabic dialects. For the…
Recursive Whitening Transformation for Speaker Recognition on Language Mismatched Condition
Suwon Shon, Seongkyu Mun, Hanseok Ko
Recently in speaker recognition, performance degradation due to the channel domain mismatched condition has been actively addressed. However, the mismatches arising from language i…
Autoencoder based Domain Adaptation for Speaker Recognition under Insufficient Channel Information
Suwon Shon, Seongkyu Mun, Wooil Kim +1
In real-life conditions, mismatch between development and test domain degrades speaker recognition performance. To solve the issue, many researchers explored domain adaptation appr…
DNN Transfer Learning based Non-linear Feature Extraction for Acoustic Event Classification
Seongkyu Mun, Minkyu Shin, Suwon Shon +3
Recent acoustic event classification research has focused on training suitable filters to represent acoustic events. However, due to limited availability of target event databases…
KU-ISPL Speaker Recognition Systems under Language mismatch condition for NIST 2016 Speaker Recognition Evaluation
Suwon Shon, Hanseok Ko
Korea University Intelligent Signal Processing Lab. (KU-ISPL) developed speaker recognition system for SRE16 fixed training condition. Data for evaluation trials are collected from…