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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 cs.CLShow all

5 papers · 1 filter

cs.CL2020★ 8 cited

Robust Speaker Recognition Using Speech Enhancement And Attention Model

Yanpei Shi, Qiang Huang, Thomas Hain

In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performanc…

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…

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…