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eess.AS2020
Unsupervised Spoken Term Discovery on Untranscribed Speech
Man-Ling Sung
(Part of the abstract) In this thesis, we investigate the use of unsupervised spoken term discovery in tackling this problem. Unsupervised spoken term discovery aims to discover to…
eess.AS2020★ 2 cited
Unsupervised Pattern Discovery from Thematic Speech Archives Based on Multilingual Bottleneck Features
Man-Ling Sung, Siyuan Feng, Tan Lee
The present study tackles the problem of automatically discovering spoken keywords from untranscribed audio archives without requiring word-by-word speech transcription by automati…
eess.AS2020★ 1 cited
Unsupervised Spoken Term Discovery Based on Re-clustering of Hypothesized Speech Segments with Siamese and Triplet Networks
Man-Ling Sung, Tan Lee
Spoken term discovery from untranscribed speech audio could be achieved via a two-stage process. In the first stage, the unlabelled speech is decoded into a sequence of subword uni…