ASR-free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages

ASR-free CNN-DTW Keyword Spotting Using Multilingual Bottleneck Features for Almost Zero-Resource Languages

6th Workshop on Spoken Language Technologies for Under-resourced languages (SLTU)

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Bibliographic Details
Main Authors: R. Menon, H. Kamper, Yilmaz E., J. Quinn, T. Niesler
Other Authors: ELECTRICAL AND COMPUTER ENGINEERING
Format: Conference or Workshop Item
Published: 2018
Online Access:http://scholarbank.nus.edu.sg/handle/10635/145602
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Institution: National University of Singapore

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http://scholarbank.nus.edu.sg/handle/10635/145602

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