32 citations · 58 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion
Seongkyu Mun, Suwon Shon
In a recent acoustic scene classification (ASC) research field, training and test device channel mismatch have become an issue for the real world implementation. To address the iss…
Convolutional Neural Networks and Language Embeddings for End-to-End Dialect Recognition
Suwon Shon, Ahmed Ali, James Glass
Dialect identification (DID) is a special case of general language identification (LID), but a more challenging problem due to the linguistic similarity between dialects. In this p…
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…