Search Results - "Xiangang Li"

Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition by Xiangang Li, Xihong Wu

“…Long short-term memory (LSTM) based acoustic modeling methods have recently been shown to give state-of-the-art performance on some speech recognition tasks…”
Get full text

Influence of epidemic situation on COVID-19 vaccination between urban and rural residents in China-Vietnam border area: A cross-sectional survey by Liu, Bin, Zhang, Min, Li, Xiangang, Liu, Li, Li, Qin, Liang, Zhengzhong, Xu, Lin, Li, Li, Su, Yuekang

“…Background The situation of the COVID-19 outbreak in the border areas of China and Vietnam is complex, and its progress may affect the willingness of urban and…”
Get full text

Transformer Based Unsupervised Pre-Training for Acoustic Representation Learning by Zhang, Ruixiong, Wu, Haiwei, Li, Wubo, Jiang, Dongwei, Zou, Wei, Li, Xiangang

“…Recently, a variety of acoustic tasks and related applications arised. For many acoustic tasks, the labeled data size may be limited. To handle this problem,…”
Get full text

Experimental study on the influence of recycled aggregates on the mechanical properties of concrete by Li, Chuangui, Zhao, Hongkui, Wu, Jianfeng, Li, Xiangang, Zhang, Ya

“…Construction solid waste has become an important environmental pollution source in the city, and the treatment and application of construction solid waste has…”
Get full text

Improving long short-term memory networks using maxout units for large vocabulary speech recognition by Xiangang Li, Xihong Wu

“…Long short-tem memory (LSTM) recurrent neural networks have been shown to give state-of-the-art performance on many speech recognition tasks. To achieve a…”
Get full text

Query-based composition for large-scale language model in LVCSR by Yang Han, Chenwei Zhang, Xiangang Li, Yi Liu, Xihong Wu

“…This paper describes a query-based composition algorithm that can integrate an ARPA format language model in the unified WFST framework, which avoids the…”
Get full text

An Effective Magnetic Anomaly Detection Using Orthonormal Basis of Magnetic Gradient Tensor Invariants by Yan, Youyu, Liu, Jianguo, Yan, Shenggang, Shen, Siyuan, Li, Xiangang

“…Magnetic anomaly detection (MAD) technology has been widely used in geological exploration, unexploded ordnance exploration, wreck salvage, and other fields…”
Get full text

A Hybrid Calibration Method for a Three-Axis Magnetometer in Limited-Range Attitudes by Liu, Jianguo, Yan, Youyu, Yan, Shenggang, Li, Xiangang

“…The calibration of a three-axis magnetometer plays a vital role in its wide practical applications. Most previous calibration methods are based on the…”
Get full text

A comparative study on selecting acoustic modeling units in deep neural networks based large vocabulary Chinese speech recognition by Li, Xiangang, Yang, Yuning, Pang, Zaihu, Wu, Xihong

Get full text

A Compensation Method in Magnetic Distortion Through Regularized Inverse Problems by Yan, Youyu, Yan, Shenggang, Liu, Jianguo, Li, Xiangang, Shen, Siyuan

“…In magnetic surveys, three-axis magnetometers (TAMs) are usually installed on large carriers, and the TAM outputs are inevitably subjected to errors from TAMs…”
Get full text

Partition Beetles Antennae Search Algorithm for Magnetic Sensor Calibration Optimization by Li, Xiangang, Yan, Shenggang, Liu, Jianguo, Sun, Yang, Yan, Youyu

“…As vector sensors, such as the fluxgate magnetometer, are more and more widely used in magnetic anomaly signal detection and location, researchers find that…”
Get full text

A Novel Linear Calibration Model for Three-Axis Fluxgate Magnetometer by Liu, Jianguo, Li, Xiangang, Yan, Shenggang, Yan, Youyu, Jia, Wei, Zhang, Qingguo

“…With low cost, simple structure and high accuracy, the three-axis fluxgate magnetometer (TFM) has been frequently used in many fields. However, the systematic…”
Get full text

Labeling unsegmented sequence data with DNN-HMM and its application for speech recognition by Xiangang Li, Xihong Wu

“…Recently, deep neural network (DNN) with hidden Markov model (HMM) has turned out to be a superior sequence learning framework, based on which significant…”
Get full text

A Further Study of Unsupervised Pretraining for Transformer Based Speech Recognition by Jiang, Dongwei, Li, Wubo, Zhang, Ruixiong, Cao, Miao, Luo, Ne, Han, Yang, Zou, Wei, Han, Kun, Li, Xiangang

“…The construction of an effective good speech recognition system typically requires large amounts of transcribed data, which is expensive to collect. To…”
Get full text

Novel Magnetic Localization Methods for Minimizing the Ellipse Error Based on the Tensor Invariants by Li, Xiangang, Yan, Shenggang, Liu, Jianguo, Yan, Youyu

“…There are various technology routes for the localization of magnetic targets. Among them, the localization methods based on magnetic gradient tensor invariants…”
Get full text

Chinese syllable-to-character conversion with recurrent neural network based supervised sequence labelling by Yi Liu, Jing Hua, Xiangang Li, Tong Fu, Xihong Wu

“…Chinese Syllable-to-Character (S2C) conversion is the important component for Input Methods, and the key problem in Chinese S2C conversion is the serious…”
Get full text

Development of a Golden Gate Assembly-Based Genetic Toolbox for Lactiplantibacillus plantarum and Its Application for Engineering Monoterpenoid Biosynthesis by Li, Xiangang, Schönberg, Pascal Y., Wucherpfennig, Tabea, Hinze, Christoph, Sulaj, Flavia, Henle, Thomas, Mascher, Thorsten

“…Lactiplantibacillus plantarum is a food-grade lactic acid bacterium widely used in the food and beverage industry. Recently, this probiotic organism has been…”
Get full text

Audio Deepfake Detection System with Neural Stitching for ADD 2022 by Yan, Rui, Wen, Cheng, Zhou, Shuran, Guo, Tingwei, Zou, Wei, Li, Xiangang

“…This paper describes our best system and methodology for ADD 2022: The First Audio Deep Synthesis Detection Challenge[1]. The very same system was used for…”
Get full text

Integrating prosodic information into recurrent neural network language model for speech recognition by Tong Fu, Yang Han, Xiangang Li, Yi Liu, Xihong Wu

“…Prosody is a kind of cues that are critical to human speech perception and comprehension, so it is plausible to integrate prosodic information into machine…”
Get full text

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module by Huang, Linzhi, Li, Yulong, Tian, Hongbo, Yang, Yue, Li, Xiangang, Deng, Weihong, Ye, Jieping

“…In this paper, we delve into semi-supervised 2D human pose estimation. The previous method ignored two problems: (i) When conducting interactive training…”
Get full text