8 citations · 25 across the 11 of their papers we have counts for
Showing 2019 · cs.CLShow all
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cs.CL2019★ 1 cited
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model
Yanpei Shi, Qiang Huang, Thomas Hain
In this paper, a hierarchical attention network to generate utterance-level embeddings (H-vectors) for speaker identification is proposed. Since different parts of an utterance may…
cs.CL2019★ 2 cited
Contextual Joint Factor Acoustic Embeddings
Yanpei Shi, Thomas Hain
Embedding acoustic information into fixed length representations is of interest for a whole range of applications in speech and audio technology. Two novel unsupervised approaches…