Cover Image

RCT: Random Consistency Training for Semi-supervised Sound Event Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shao, Nian, Loweimi, Erfan, Li, Xiaofei
Format:	Preprint
Published:	2021
Subjects:	Audio and Speech Processing Machine Learning Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speaker Retrieval in the Wild: Challenges, Effectiveness and Robustness
by: Loweimi, Erfan, et al.
Published: (2025)

Probing Whisper for Dysarthric Speech in Detection and Assessment
by: Yue, Zhengjun, et al.
Published: (2025)

Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures
by: Park, Sangwook, et al.
Published: (2021)

Sound Event Detection and Localization with Distance Estimation
by: Krause, Daniel Aleksander, et al.
Published: (2024)

Energy Consumption Trends in Sound Event Detection Systems
by: Douwes, Constance, et al.
Published: (2024)

Exploring Performance-Complexity Trade-Offs in Sound Event Detection Models
by: Morocutti, Tobias, et al.
Published: (2025)

An Experimental Study on Joint Modeling for Sound Event Localization and Detection with Source Distance Estimation
by: Dong, Yuxuan, et al.
Published: (2025)

Fine-tune the pretrained ATST model for sound event detection
by: Shao, Nian, et al.
Published: (2023)

MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event Detection
by: Wang, Zehao, et al.
Published: (2024)

SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
by: Saito, Koichi, et al.
Published: (2024)

Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms
by: Roman, Iran R., et al.
Published: (2024)

From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
by: Martinsson, John, et al.
Published: (2024)

Joint Analysis of Acoustic Scenes and Sound Events Based on Semi-Supervised Training of Sound Events With Partial Labels
by: Imoto, Keisuke
Published: (2025)

HiSSNet: Sound Event Detection and Speaker Identification via Hierarchical Prototypical Networks for Low-Resource Headphones
by: Shashaank, N, et al.
Published: (2023)

Training Articulatory Inversion Models for Interspeaker Consistency
by: McGhee, Charles, et al.
Published: (2025)

Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning
by: Lindholm, Richard, et al.
Published: (2025)

Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
by: Bai, Jisheng, et al.
Published: (2024)

Effective Pre-Training of Audio Transformers for Sound Event Detection
by: Schmid, Florian, et al.
Published: (2024)

Activity-Guided Industrial Anomalous Sound Detection against Interferences
by: Lee, Yunjoo, et al.
Published: (2024)

Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
by: Moummad, Ilyass, et al.
Published: (2023)

Microphone Conversion: Mitigating Device Variability in Sound Event Classification
by: Ryu, Myeonghoon, et al.
Published: (2024)

Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection
by: Zhang, Shiqi, et al.
Published: (2025)

Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs
by: Loweimi, Erfan, et al.
Published: (2024)

Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation
by: Wang, Wupeng, et al.
Published: (2025)

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

Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data
by: Mostafiz, Mir Imtiaz, et al.
Published: (2024)

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
by: Zhong, Guirui, et al.
Published: (2025)

SoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model
by: Niu, Xinlei, et al.
Published: (2024)

Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks
by: Bauer, Waldemar, et al.
Published: (2024)

SoundSculpt: Direction and Semantics Driven Ambisonic Target Sound Extraction
by: Chen, Tuochao, et al.
Published: (2025)

Sound Tagging in Infant-centric Home Soundscapes
by: Khan, Mohammad Nur Hossain, et al.
Published: (2024)

Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training
by: Schmid, Florian, et al.
Published: (2024)

The iNaturalist Sounds Dataset
by: Chasmai, Mustafa, et al.
Published: (2025)

Tempo estimation as fully self-supervised binary classification
by: Henkel, Florian, et al.
Published: (2024)

Description and Discussion on DCASE 2024 Challenge Task 2: First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring
by: Nishida, Tomoya, et al.
Published: (2024)

Frequency Dynamic Convolutions for Sound Event Detection
by: Nam, Hyeonuk
Published: (2025)

An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging
by: Meseguer-Brocal, Gabriel, et al.
Published: (2024)

Clustering-based hard negative sampling for supervised contrastive speaker verification
by: Masztalski, Piotr, et al.
Published: (2025)

Utilizing synthetic training data for the supervised classification of rat ultrasonic vocalizations
by: Scott, K. Jack, et al.
Published: (2023)

Audio Geolocation: A Natural Sounds Benchmark
by: Chasmai, Mustafa, et al.
Published: (2025)