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Lifelong user modeling, which leverages users' long-term behavior sequences for CTR prediction, has been widely applied in personalized services. Existing methods generally adopted a two-stage "retrieval-refinement" strategy to balance…

Information Retrieval · Computer Science 2026-02-09 Qidong Liu , Gengnan Wang , Zhichen Liu , Moranxin Wang , Zijian Zhang , Xiao Han , Ni Zhang , Tao Qin , Chen Li

Deep learning Convolutional Neural Network (CNN) models are powerful classification models but require a large amount of training data. In niche domains such as bird acoustics, it is expensive and difficult to obtain a large number of…

Computer Vision and Pattern Recognition · Computer Science 2019-09-18 Dina B. Efremova , Mangalam Sankupellay , Dmitry A. Konovalov

Unlike areas such as computer vision and speech recognition where convolutional and recurrent neural networks-based approaches have proven effective to the nature of the respective areas of application, deep learning (DL) still lacks a…

Signal Processing · Electrical Eng. & Systems 2021-05-14 Khalid Youssef , Greg Schuette , Yubin Cai , Daisong Zhang , Yikun Huang , Yahya Rahmat-Samii , Louis-S. Bouchard

In recent years, deep learning based machine lipreading has gained prominence. To this end, several architectures such as LipNet, LCANet and others have been proposed which perform extremely well compared to traditional lipreading DNN-HMM…

Computer Vision and Pattern Recognition · Computer Science 2019-07-01 Dilip Kumar Margam , Rohith Aralikatti , Tanay Sharma , Abhinav Thanda , Pujitha A K , Sharad Roy , Shankar M Venkatesan

Scene text recognition (STR) methods have demonstrated their excellent capability in English text images. However, due to the complex inner structures of Chinese and the extensive character categories, it poses challenges for recognizing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Qilong Li , Chongsheng Zhang

This paper presents a novel method that allows a machine learning algorithm following the transformation-based learning paradigm \cite{brill95:tagging} to be applied to multiple classification tasks by training jointly and simultaneously on…

Computation and Language · Computer Science 2007-05-23 Radu Florian , Grace Ngai

This paper describes a conditional neural network architecture for Mandarin Chinese polyphone disambiguation. The system is composed of a bidirectional recurrent neural network component acting as a sentence encoder to accumulate the…

Computation and Language · Computer Science 2019-07-04 Zexin Cai , Yaogen Yang , Chuxiong Zhang , Xiaoyi Qin , Ming Li

Speech transcription, emotion recognition, and language identification are usually considered to be three different tasks. Each one requires a different model with a different architecture and training process. We propose using a recurrent…

Audio and Speech Processing · Electrical Eng. & Systems 2022-07-29 Zvi Kons , Hagai Aronowitz , Edmilson Morais , Matheus Damasceno , Hong-Kwang Kuo , Samuel Thomas , George Saon

Learning binary representations of instances and classes is a classical problem with several high potential applications. In modern settings, the compression of high-dimensional neural representations to low-dimensional binary codes is a…

Spoken language recognition (SLR) is the task of automatically identifying the language present in a speech signal. Existing SLR models are either too computationally expensive or too large to run effectively on devices with limited…

Computation and Language · Computer Science 2023-06-06 Oriol Nieto , Zeyu Jin , Franck Dernoncourt , Justin Salamon

Accurate classification of laryngeal vascular as benign or malignant is crucial for early detection of laryngeal cancer. However, organizations with limited access to laryngeal vascular images face challenges due to the lack of large and…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Xinyi Fang , Xu Yang , Chak Fong Chong , Kei Long Wong , Yapeng Wang , Tiankui Zhang , Sio-Kei Im

We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages. Because it replaces entire pipelines of hand-engineered components with neural networks,…

State-of-the-art spoken language identification (LID) systems, which are based on end-to-end deep neural networks, have shown remarkable success not only in discriminating between distant languages but also between closely-related languages…

Audio and Speech Processing · Electrical Eng. & Systems 2020-08-10 Badr M. Abdullah , Tania Avgustinova , Bernd Möbius , Dietrich Klakow

With rapid development of neural networks, deep-learning has been extended to various natural language generation fields, such as machine translation, dialogue generation and even literature creation. In this paper, we propose a theme-aware…

Computation and Language · Computer Science 2019-06-06 Jie Wang , Xinyan Zhao

Conventional spoken language understanding (SLU) consist of two stages, the first stage maps speech to text by automatic speech recognition (ASR), and the second stage maps text to intent by natural language understanding (NLU). End-to-end…

Multimedia · Computer Science 2021-12-14 Haoran Wei , Fei Tao , Runze Su , Sen Yang , Ji Liu

The identification of Line-of-Sight (LoS) conditions is critical for ensuring reliable high-frequency communication links, which are particularly vulnerable to blockages and rapid channel variations. Network Digital Twins (NDTs) and…

Signal Processing · Electrical Eng. & Systems 2025-05-22 Michele Zhu , Silvia Mura , Francesco Linsalata , Lorenzo Cazzella , Damiano Badini , Umberto Spagnolini

Artificial intelligence has achieved notable results in sign language recognition and translation. However, relatively few efforts have been made to significantly improve the quality of life for the 72 million hearing-impaired people…

Computers and Society · Computer Science 2025-01-14 Yulong Li , Bolin Ren , Ke Hu , Changyuan Liu , Zhengyong Jiang , Kang Dang , Jionglong Su

This paper presents a description of STC Ltd. systems submitted to the NIST 2021 Speaker Recognition Evaluation for both fixed and open training conditions. These systems consists of a number of diverse subsystems based on using deep neural…

Pre-trained models, especially self-supervised learning (SSL) models, have demonstrated impressive results in automatic speech recognition (ASR) task. While most applications of SSL models focus on leveraging continuous representations as…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-03 Zehan Li , Yan Yang , Xueqing Li , Jian Kang , Xiao-Lei Zhang , Jie Li

We present a deep hierarchical recurrent neural network for sequence tagging. Given a sequence of words, our model employs deep gated recurrent units on both character and word levels to encode morphology and context information, and…

Computation and Language · Computer Science 2016-08-10 Zhilin Yang , Ruslan Salakhutdinov , William Cohen
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