:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Ji, Xie, Yuan, Wang, Wenchao
Format:	Preprint
Published:	2023
Subjects:	Sound Machine Learning
Online Access:	https://arxiv.org/abs/2306.06945
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition
by: Xie, Yuan, et al.
Published: (2023)

DEMONet: Underwater Acoustic Target Recognition based on Multi-Expert Network and Cross-Temporal Variational Autoencoder
by: Xie, Yuan, et al.
Published: (2024)

Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts
by: Xie, Yuan, et al.
Published: (2024)

Unraveling Complex Data Diversity in Underwater Acoustic Target Recognition through Convolution-based Mixture of Experts
by: Xie, Yuan, et al.
Published: (2024)

Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition
by: Agashe, Atharva, et al.
Published: (2025)

Decodable but not structured: linear probing enables Underwater Acoustic Target Recognition with pretrained audio embeddings
by: Hummel, Hilde I., et al.
Published: (2026)

Underwater Acoustic Signal Recognition Based on Salient Feature
by: Chen, Minghao
Published: (2023)

Hankel-FNO: Fast Underwater Acoustic Charting Via Physics-Encoded Fourier Neural Operator
by: Sun, Yifan, et al.
Published: (2025)

Parameter-efficient Dual-encoder Architecture with Differentiable Choquet Integral Fusion for Underwater Acoustic Classification
by: Mohammadi, Amirmohammad, et al.
Published: (2026)

Cross-domain Sound Recognition for Efficient Underwater Data Analysis
by: Park, Jeongsoo, et al.
Published: (2023)

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design
by: Weeratunge, Hansani, et al.
Published: (2025)

Adversarial multi-task underwater acoustic target recognition: towards robustness against various influential factors
by: Xie, Yuan, et al.
Published: (2024)

Improving Underwater Acoustic Classification Through Learnable Gabor Filter Convolution and Attention Mechanisms
by: Domingos, Lucas Cesar Ferreira, et al.
Published: (2025)

AaSP: Aliasing-aware Self-Supervised Pre-Training for Audio Spectrogram Transformers
by: Yamamoto, Kohei, et al.
Published: (2025)

Targeted Augmented Data for Audio Deepfake Detection
by: Astrid, Marcella, et al.
Published: (2024)

MARS: Sound Generation via Multi-Channel Autoregression on Spectrograms
by: Ristori, Eleonora, et al.
Published: (2025)

Improving Speech Emotion Recognition with Mutual Information Regularized Generative Model
by: Ahn, Chung-Soo, et al.
Published: (2025)

Cross-Domain Knowledge Transfer for Underwater Acoustic Classification Using Pre-trained Models
by: Mohammadi, Amirmohammad, et al.
Published: (2024)

Multi-Target Backdoor Attacks Against Speaker Recognition
by: Fortier, Alexandrine, et al.
Published: (2025)

Synthesizer Sound Matching Using Audio Spectrogram Transformers
by: Bruford, Fred, et al.
Published: (2024)

Joint Source-Environment Adaptation of Data-Driven Underwater Acoustic Source Ranging Based on Model Uncertainty
by: Kari, Dariush, et al.
Published: (2025)

Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform
by: Xie, Yuan, et al.
Published: (2023)

Adaptive Control Attention Network for Underwater Acoustic Localization and Domain Adaptation
by: Vo, Quoc Thinh, et al.
Published: (2025)

CAARMA: Class Augmentation with Adversarial Mixup Regularization
by: Baali, Massa, et al.
Published: (2025)

From Coarse to Fine: Efficient Training for Audio Spectrogram Transformers
by: Feng, Jiu, et al.
Published: (2024)

Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
by: Razig, Amine, et al.
Published: (2025)

Unified Acoustic Representations for Screening Neurological and Respiratory Pathologies from Voice
by: Piao, Ran, et al.
Published: (2025)

Graph Embedding with Mel-spectrograms for Underwater Acoustic Target Recognition
by: Feng, Sheng, et al.
Published: (2025)

Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks
by: Elias, Noel
Published: (2024)

Abnormal Respiratory Sound Identification Using Audio-Spectrogram Vision Transformer
by: Ariyanti, Whenty, et al.
Published: (2024)

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
by: Bae, Sangmin, et al.
Published: (2023)

Joint Source-Environment Adaptation for Deep Learning-Based Underwater Acoustic Source Ranging
by: Kari, Dariush, et al.
Published: (2025)

Mismatch-Robust Underwater Acoustic Localization Using A Differentiable Modular Forward Model
by: Kari, Dariush, et al.
Published: (2025)

AUDRON: A Deep Learning Framework with Fused Acoustic Signatures for Drone Type Recognition
by: Chatterjee, Rajdeep, et al.
Published: (2025)

Brainprint-Modulated Target Speaker Extraction
by: Han, Qiushi, et al.
Published: (2025)

RNN-Transducer-based Losses for Speech Recognition on Noisy Targets
by: Bataev, Vladimir
Published: (2025)

VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation
by: Wang, Ting-Kang, et al.
Published: (2025)

Comparison Performance of Spectrogram and Scalogram as Input of Acoustic Recognition Task
by: Phan, Dang Thoai
Published: (2024)

Enhancing Speech Emotion Recognition using Dynamic Spectral Features and Kalman Smoothing
by: Hizabri, Marouane El, et al.
Published: (2026)

A Study on the Data Distribution Gap in Music Emotion Recognition
by: Ching, Joann, et al.
Published: (2025)