Search Results for author:
Found 15 papers, 3 papers with code
Sound event localization and classification using WASN in Outdoor Environment
Moreover, methods using multiple microphone arrays often focus solely on source localization, neglecting the aspect of sound event classification.
Implementation of an AI-based MRD evaluation and prediction model for multiple myeloma
With the application of hematopoietic stem cell transplantation and new drugs, the progression-free survival rate and overall survival rate of multiple myeloma have been greatly improved, but it is still considered as a kind of disease that cannot be completely cured.
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
In addition, considering the abundance of unlabeled acoustic scene data in the real world, it is important to study the possible ways to utilize these unlabelled data.
Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music
This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge.
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection
In this paper, we first propose an interactive dual-conformer (IDC) module, in which a cross-interaction mechanism is applied to effectively exploit the information from soft labels.
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning
This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning.
Dynamic Kernel Convolution Network with Scene-dedicate Training for Sound Event Localization and Detection
While in real spatial sound scenes, reverberation and the imbalanced presence of various sound events increase the complexity of the SELD task.
Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement
3D speech enhancement can effectively improve the auditory experience and plays a crucial role in augmented reality technology.
SSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring
In this article, we propose a self-supervised dual-path Transformer (SSDPT) network to detect anomalous sounds in machine monitoring.
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition
Evaluations for the three tasks are conducted on the recent databases of detection and classification of acoustic scenes and event challenges.
Multimodal Urban Sound Tagging with Spatiotemporal Context
Noise pollution significantly affects our daily life and urban development.
How to Better Distinguish Security Bug Reports (using Dual Hyperparameter Optimization
For example, in a study of security bug reports from the Chromium dataset, the median recalls of FARSEC and Swift were 15. 7% and 77. 4%, respectively.
Software Engineering
Hyperparameter Optimization for Effort Estimation
We test OIL on a wide range of hyperparameter optimizers using data from 945 software projects.
Software Engineering
RIOT: a Stochastic-based Method for Workflow Scheduling in the Cloud
Cloud computing provides engineers or scientists a place to run complex computing tasks.
Beyond Evolutionary Algorithms for Search-based Software Engineering
Context: Evolutionary algorithms typically require a large number of evaluations (of solutions) to converge - which can be very slow and expensive to evaluate. Objective: To solve search-based software engineering (SE) problems, using fewer evaluations than evolutionary methods. Method: Instead of mutating a small population, we build a very large initial population which is then culled using a recursive bi-clustering chop approach.
