Unsupervised Bottleneck Features for Low-Resource Query-by-Example Spoken Term Detection
Hongjie Chen 0001; Cheung-Chi Leung; Lei Xie 0001; Bin Ma 0001; Haizhou Li 0001;
Unsupervised Bottleneck Features for Low-Resource Query-by-Example Spoken Term Detection
- Northwestern Polytechnical University China (People's Republic of)
- Agency for Science, Technology and Research Singapore
- Institute for Infocomm Research Singapore
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).26 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 26
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