作者： Xiaonan Xu;Yongzhe Li;Ran Tao;Tao Shan

出处： ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024

关键词： Closed-form solutions;OFDM;Simulation;Signal processing algorithms;Radar;Information processing;Signal processing;Multiple-input Multiple-output;Orthogonal Frequency Division Multiplexing;Waveform Design;Multiple-input Multiple-output Communication;Envelope Power Ratio;Simulation Results;Objective Function;Non-convex Problem;Information Embedding;Right-hand;Weight Vector;Communication Performance;Constant Term;Matrix M;Communication Rate;Phase Shift Keying;Radar Performance;Binary Phase Shift Keying;Large Degree Of Freedom;Peak-to-average Power Ratio;Symbol Error Rate

摘要： In this paper, we focus on the orthogonal frequency division multiplexing (OFDM) waveform design for the joint multipleinput multiple-output radar and ...

作者： Zongtao Zhang;Sijie Xu;Shengan Lu;Ling Chen

出处： 2024 4th International Conference on Neural Networks, Information and Communication (NNICE) Guangzhou, China 2024

关键词： YOLO;Adaptation models;Target recognition;Streaming media;Transformers;Data augmentation;Agriculture;Behavior Of Pigs;Complex Environment;Data Augmentation;Recognition Accuracy;Average Precision;Real-world Environments;Mean Average Precision;Horizontal Flip;Data Augmentation Techniques;Perspective Transformation;Environmental Conditions;Light Conditions;Object Detection;Recurrent Neural Network;Radio Frequency Identification;Pertinent Issues;Behavioral Monitoring;Nonexpansive Mapping;Apply Data Augmentation

摘要： With the growing demand for sustainable animal products, intelligent pig farming has become key to improving the efficiency of livestock agriculture. ...

作者： Wenyao Cui;Jiahao Cai;Baohua Zhang;Yongyi Huang;Huaping Zhang

出处： ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024

关键词： Knowledge engineering;Semantics;Benchmark testing;Natural language processing;Acoustics;Error correction;Task analysis;Tacit Knowledge;Self-learning Model;Kullback-Leibler;Learning Objectives;Explicit Knowledge;Semantic Understanding;F1 Score;Attention Mechanism;Error Detection;Hidden State;Language Model;External Knowledge;Hidden Vector;Correct Sentences;Pre-trained Language Models;Semantic Consistency;Sentence Position;Semantic Constraints;Sentence Embedding;Phonetic Information

摘要： Chinese Spelling Correction (CSC) is a challenging and essential task in natural language processing. In this study, we introduces a new method for Ch ...

作者： Mengze Zhang;Liyu Tian;Baopeng Sun;Peilong Hu

出处： 2024 4th International Conference on Neural Networks, Information and Communication (NNICE) Guangzhou, China 2024

关键词： Wavelet transforms;Radar cross-sections;Frequency-domain analysis;Surveillance;Noise;Feature extraction;Vectors;Classification Methods;Neural Network;Time Domain;Frequency Domain;Energy Distribution;Unmanned Aerial Vehicles;Target Class;Back Propagation Neural Network;Echo Signal;Time-domain Waveform;Echo Data;Convolutional Neural Network;Frequency Band;Hidden Layer;Wavelet Transform;Target Features;Target Type;Target Information;Shift In Spectra;Recognition Rate;Doppler Spectrum;Clutter Suppression;Doppler Frequency;Target Echo;Signal Length;Wavelet Decomposition;Target Speed;Target Velocity;Radar Receiver;Frequency Domain Features

摘要： In order to accurately identify ground and low altitude moving targets, a classification method based on multiple features is proposed to classify peo ...

作者： Jingjia Yu;Xin Liu;Lin Gong;Minxia Liu;Xi Xiang;Jian Xie;Yongyang Zhang

出处： 2024 4th International Conference on Neural Networks, Information and Communication (NNICE) Guangzhou, China 2024

关键词： Wind energy;Network topology;Wind speed;Time series analysis;Wind farms;Predictive models;Data models;Neural Network;Convolutional Network;Convolutional Neural Network;Prediction Network;Temporal Convolution;Temporal Convolutional Network;Wind Speed Prediction;Deep Learning;Temporal Dimension;Spatial Dimensions;Wind Power;Deep Learning Techniques;Wind Farm;Wind Speed Data;Call Graph;Root Mean Square Error;Mean Square Error;Convolutional Layers;Prediction Methods;Graph Convolutional Network;Multivariate Time Series;Temporal Dependencies;Wind Turbine;Long Short-term Memory;Long Short-term Memory Model;Multilayer Perceptron;Receptive Field;Multiple Convolutional Layers;Dynamic Patterns

摘要： Due to the high randomness of wind speed in the natural environment, accurate wind speed prediction is of great significance for wind energy. With the ...

作者： Xin Sun;Xiangyu Ren;Xiaohao Xie

出处： ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024

关键词： Sentiment analysis;Analytical models;Logic gates;Multitasking;Transformers;Task analysis;Speech processing;Sentiment Analysis;Multi-task Learning;Multimodal Analysis;Gating Mechanism;Multimodal Tasks;Fusion Mode;Attention Mechanism;Normalization Layer;Residual Connection;Global Representation;Feature Extraction Capability;Multimodal Representation;Transformer-based Methods;Multi-task Learning Framework;Label Generation

摘要： Sentiment analysis is an important research area in Natural Language Processing (NLP). With the explosion of multimodal data, Multimodal Sentiment Ana ...

作者： Hanyue Liu;Miao Liu;Jing Wang;Xiang Xie;Lidong Yang

出处： ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024

关键词： Measurement;Tensors;Neural networks;Transforms;Signal processing;Feature extraction;Multitasking;Multi-task Learning;Speech Quality;Tensor Network;Speech Quality Assessment;Loss Function;Neural Network;High-dimensional;Dot Product;Feature Points;Kernel Methods;Classification Bias;Real Label;Baseline System;Speech Assessment;Mean Opinion Score;Speech System;Higher-order Representations;Linear Model;Pearson Correlation;Spearman Correlation;Classification Task;Audio Segments;Short-time Fourier Transform;Feature Maps;Subjective Metrics;Bidirectional Long Short-term Memory;Input Vector;Speech Task;Root Mean Square Error;Mean Square Error

摘要： With the growing significance of non-intrusive speech quality assessment in speech systems, existing methods predominantly rely on neural networks to ...

作者： Miao Liu;Jing Wang;Xinyuan Qian;Xiang Xie

出处： ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024

关键词： Visualization;Technological innovation;Correlation;Benchmark testing;Acoustics;Recording;Decoding;Binaural Audio;Cross-modal Consistency;Qualitative Results;Visual Features;Benchmark Datasets;Left Channels;Matching Loss;Spatial Information;Visual Information;Weight Function;Training Objective;Short-time Fourier Transform;Audio Data;Extract Visual Features;Visual Frame;Audio Segments

摘要： Binaural audio delivers an immersive spatial auditory experience to human listeners, but most existing videos lack binaural audio due to the expertise ...

作者： Fuyong Feng;Chao Wei;Meidi Zhang;Ruijie Zhang

出处： 2024 4th International Conference on Neural Networks, Information and Communication (NNICE) Guangzhou, China 2024

关键词： Convolution;Information processing;Predictive models;Feature extraction;Graph neural networks;Trajectory;Spatiotemporal phenomena;Graph Neural Networks;Trajectory Prediction;Spatiotemporal Fusion;Information Processing;Global Map;Interaction Information;Map Information;Development Of Artificial Intelligence;Spatiotemporal Information;Left Turn;Spatiotemporal Method;Spatio-temporal Prediction;Field Of View;Geometric Shapes;Maximum Entropy;Line Segment;Types Of Connections;Fusion Network;Top Image;Bottom Image;Trajectory Clustering;Actual Trajectory;Prediction Head

摘要： The development of artificial intelligence has brought new opportunities to the field of autonomous driving trajectory prediction. Most existing resea ...

作者： Xiaoping Liu;Gong Chen;Jun Shi;Ran Tao

出处： ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024

关键词： Sufficient conditions;Fourier transforms;Signal reconstruction;Acoustics;Speech processing;Signal Reconstruction;Fractional Fourier Transform;Fractional Fourier Transform Domain;Average Sample;Average Position;Sampling Theorem;Signal Processing;Set Of Functions;Conventional Sampling;Normalized Mean Square Error

摘要： In this paper, we investigate a local average sampling and reconstruction problem using the fractional Fourier transform (FRFT). We present certain ne ...