UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection
This work explores class-incremental learning (CIL) for sound event detection (SED),
advancing adaptability towards real-world scenarios. CIL's success in domains like …
advancing adaptability towards real-world scenarios. CIL's success in domains like …
Sequence-level knowledge distillation for class-incremental end-to-end spoken language understanding
The ability to learn new concepts sequentially is a major weakness for modern neural
networks, which hinders their use in non-stationary environments. Their propensity to fit the …
networks, which hinders their use in non-stationary environments. Their propensity to fit the …
Class-Incremental Learning for Multi-Label Audio Classification
M Mulimani, A Mesaros - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
In this paper, we propose a method for class-incremental learning of potentially overlapping
sounds for solving a sequence of multi-label audio classification tasks. We design an …
sounds for solving a sequence of multi-label audio classification tasks. We design an …
Online detection method for variable load conditions and anomalous sound of hydro turbines using correlation analysis and PCA-adaptive-K-means
X Xu, H Wen, HJ Lin, ZX Li, C Huang - Measurement, 2024 - Elsevier
The hydro turbine is the critical component of hydropower stations. Sound analysis provides
a versatile non-contact approach for detecting anomalies or faults of hydro turbines …
a versatile non-contact approach for detecting anomalies or faults of hydro turbines …
Unsupervised improvement of audio-text cross-modal representations
Recent advances in using language models to obtain cross-modal audio-text
representations have overcome the limitations of conventional training approaches that use …
representations have overcome the limitations of conventional training approaches that use …
DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning
The proliferation of depth cameras and LiDAR sensors in actual industrial environments has
fueled the pursuit of an effective and efficient 3D point cloud model that enables us to …
fueled the pursuit of an effective and efficient 3D point cloud model that enables us to …
Self-supervised learning for infant cry analysis
In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind
database of cry recordings containing clinical indications of more than a thousand …
database of cry recordings containing clinical indications of more than a thousand …
Continual Contrastive Spoken Language Understanding
Recently, neural networks have shown impressive progress across diverse fields, with
speech processing being no exception. However, recent breakthroughs in this area require …
speech processing being no exception. However, recent breakthroughs in this area require …
Few-Shot Class-Incremental Audio Classification With Adaptive Mitigation of Forgetting and Overfitting
Few-shot Class-incremental Audio Classification (FCAC) is a task to continuously identify
incremental classes with only few training samples after training the model on base classes …
incremental classes with only few training samples after training the model on base classes …
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis
Audio analysis is useful in many application scenarios. The state-of-the-art audio analysis
approaches assume that the data distribution at training and deployment time will be the …
approaches assume that the data distribution at training and deployment time will be the …