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20162026
most citedUnsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging

86 citations · 164 across the 18 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 1 cited

Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems

Qiang Huang, Jianhui Bu, Weijian Xie +3

Question Answering (QA) systems are used to provide proper responses to users' questions automatically. Sentence matching is an essential task in the QA systems and is usually refo…

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…

eess.AS2019★ 4 cited

Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model

Yanpei Shi, Qiang Huang, Thomas Hain

While the use of deep neural networks has significantly boosted speaker recognition performance, it is still challenging to separate speakers in poor acoustic environments. To impr…

cs.CL2019

A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer

Yuncong Li, Zhe Yang, Cunxiang Yin +4

Aspect-category sentiment analysis (ACSA) aims to predict the aspect categories mentioned in texts and their corresponding sentiment polarities. Some joint models have been propose…