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20152026
most citedCN-CELEB: a challenging Chinese speaker recognition dataset

13 citations · 75 across the 46 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

CNVSRC 2023: The First Chinese Continuous Visual Speech Recognition Challenge

Chen Chen, Zehua Liu, Xiaolou Li +2

The first Chinese Continuous Visual Speech Recognition Challenge aimed to probe the performance of Large Vocabulary Continuous Visual Speech Recognition (LVC-VSR) on two tasks: (1)…

cs.CL2023

A Glance is Enough: Extract Target Sentence By Looking at A keyword

Ying Shi, Dong Wang, Lantian Li +1

This paper investigates the possibility of extracting a target sentence from multi-talker speech using only a keyword as input. For example, in social security applications, the ke…

cs.CL2017

Phone-aware Neural Language Identification

Zhiyuan Tang, Dong Wang, Yixiang Chen +2

Pure acoustic neural models, particularly the LSTM-RNN model, have shown great potential in language identification (LID). However, the phonetic information has been largely overlo…

cs.CL20156 cited

Improved Deep Speaker Feature Learning for Text-Dependent Speaker Recognition

Lantian Li, Yiye Lin, Zhiyong Zhang +1

A deep learning approach has been proposed recently to derive speaker identifies (d-vector) by a deep neural network (DNN). This approach has been applied to text-dependent speaker…

cs.CL20158 cited

Deep Speaker Vectors for Semi Text-independent Speaker Verification

Lantian Li, Dong Wang, Zhiyong Zhang +1

Recent research shows that deep neural networks (DNNs) can be used to extract deep speaker vectors (d-vectors) that preserve speaker characteristics and can be used in speaker veri…