Copertina

Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dissanayaka, Sahan, Wickramasinghe, Manjusri, Marasinghe, Pasindu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Sound Machine Learning Audio and Speech Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Toward Faithful Explanations in Acoustic Anomaly Detection
di: Elrashid, Maab, et al.
Pubblicazione: (2026)

Benchmarking Representations for Speech, Music, and Acoustic Events
di: La Quatra, Moreno, et al.
Pubblicazione: (2024)

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

Deep Feature Learning for Medical Acoustics
di: Poirè, Alessandro Maria, et al.
Pubblicazione: (2022)

Advancing Test-Time Adaptation in Wild Acoustic Test Settings
di: Liu, Hongfu, et al.
Pubblicazione: (2023)

Multi-Channel Replay Speech Detection using Acoustic Maps
di: Neri, Michael, et al.
Pubblicazione: (2026)

Unified AI for Accurate Audio Anomaly Detection
di: Khaleghpour, Hamideh, et al.
Pubblicazione: (2025)

Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
di: Kilickaya, Sertac, et al.
Pubblicazione: (2024)

Whispy: Adapting STT Whisper Models to Real-Time Environments
di: Bevilacqua, Antonio, et al.
Pubblicazione: (2024)

An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals
di: Wang, Zhao, et al.
Pubblicazione: (2024)

Unsupervised Acoustic Scene Mapping Based on Acoustic Features and Dimensionality Reduction
di: Cohen, Idan, et al.
Pubblicazione: (2023)

Barwise Section Boundary Detection in Symbolic Music Using Convolutional Neural Networks
di: Eldeeb, Omar, et al.
Pubblicazione: (2025)

Towards Sub-millisecond Latency Real-Time Speech Enhancement Models on Hearables
di: Dementyev, Artem, et al.
Pubblicazione: (2024)

Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
di: Kwon, Taegyun, et al.
Pubblicazione: (2024)

Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models
di: Lemercier, Jean-Marie, et al.
Pubblicazione: (2024)

Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
di: Zhao, Shengkui, et al.
Pubblicazione: (2021)

The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model
di: Nguyen, Tin, et al.
Pubblicazione: (2024)

Learning Disentangled Speech Representations
di: Brima, Yusuf, et al.
Pubblicazione: (2023)

Acoustics-specific Piano Velocity Estimation
di: Simonetta, Federico, et al.
Pubblicazione: (2022)

Acoustic and Machine Learning Methods for Speech-Based Suicide Risk Assessment: A Systematic Review
di: Marie, Ambre, et al.
Pubblicazione: (2025)

COVID-19 Detection System: A Comparative Analysis of System Performance Based on Acoustic Features of Cough Audio Signals
di: Shati, Asmaa, et al.
Pubblicazione: (2023)

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

InterGridNet: An Electric Network Frequency Approach for Audio Source Location Classification Using Convolutional Neural Networks
di: Korgialas, Christos, et al.
Pubblicazione: (2025)

Lightweight and Generalizable Acoustic Scene Representations via Contrastive Fine-Tuning and Distillation
di: Yuan, Kuang, et al.
Pubblicazione: (2025)

Autoregressive Speech Enhancement via Acoustic Tokens
di: Della Libera, Luca, et al.
Pubblicazione: (2025)

TF-MLPNet: Tiny Real-Time Neural Speech Separation
di: Itani, Malek, et al.
Pubblicazione: (2025)

Improving Real-Time Music Accompaniment Separation with MMDenseNet
di: Wang, Chun-Hsiang, et al.
Pubblicazione: (2024)

StreamVC: Real-Time Low-Latency Voice Conversion
di: Yang, Yang, et al.
Pubblicazione: (2024)

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

Test-Time Training for Depression Detection
di: Dumpala, Sri Harsha, et al.
Pubblicazione: (2024)

Data-Driven Room Acoustic Modeling Via Differentiable Feedback Delay Networks With Learnable Delay Lines
di: Mezza, Alessandro Ilic, et al.
Pubblicazione: (2024)

Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model
di: Niemelä, Marko, et al.
Pubblicazione: (2024)

Exploring System Adaptations For Minimum Latency Real-Time Piano Transcription
di: Hu, Patricia, et al.
Pubblicazione: (2025)

Acoustic identification of individual animals with hierarchical contrastive learning
di: Nolasco, Ines, et al.
Pubblicazione: (2024)

Underwater Acoustic Signal Recognition Based on Salient Feature
di: Chen, Minghao
Pubblicazione: (2023)

Acoustic Classification of Maritime Vessels using Learnable Filterbanks
di: Elsborg, Jonas, et al.
Pubblicazione: (2025)

Learning Music Audio Representations With Limited Data
di: Plachouras, Christos, et al.
Pubblicazione: (2025)

A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
di: Khondkar, Md Jahangir Alam, et al.
Pubblicazione: (2025)

A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework
di: Nan, Zheng, et al.
Pubblicazione: (2024)

On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence
di: Ramasso, Emmanuel, et al.
Pubblicazione: (2024)