Copertina

Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ganitidis, Theofanis, Athanasiou, Maria, Mitsis, Konstantinos, Zarkogianni, Konstantia, Nikita, Konstantina S.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Sound Artificial Intelligence Audio and Speech Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents
di: Kalafatis, Eleftherios, et al.
Pubblicazione: (2025)

EDTC: enhance depth of text comprehension in automated audio captioning
di: Tan, Liwen, et al.
Pubblicazione: (2024)

Are audio DeepFake detection models polyglots?
di: Marek, Bartłomiej, et al.
Pubblicazione: (2024)

RELATE: Subjective evaluation dataset for automatic evaluation of relevance between text and audio
di: Kanamori, Yusuke, et al.
Pubblicazione: (2025)

A robust audio deepfake detection system via multi-view feature
di: Yang, Yujie, et al.
Pubblicazione: (2024)

Scaling up masked audio encoder learning for general audio classification
di: Dinkel, Heinrich, et al.
Pubblicazione: (2024)

Semi-intrusive audio evaluation: Casting non-intrusive assessment as a multi-modal text prediction task
di: Coldenhoff, Jozef, et al.
Pubblicazione: (2024)

Towards audio language modeling -- an overview
di: Wu, Haibin, et al.
Pubblicazione: (2024)

Towards generalizing deep-audio fake detection networks
di: Gasenzer, Konstantin, et al.
Pubblicazione: (2023)

An RFP dataset for Real, Fake, and Partially fake audio detection
di: AlAli, Abdulazeez, et al.
Pubblicazione: (2024)

Unsupervised outlier detection to improve bird audio dataset labels
di: Collins, Bruce
Pubblicazione: (2025)

Tweaking autoregressive methods for inpainting of gaps in audio signals
di: Mokrý, Ondřej, et al.
Pubblicazione: (2024)

MBCodec:Thorough disentangle for high-fidelity audio compression
di: Zhang, Ruonan, et al.
Pubblicazione: (2025)

Real-time implementation of vibrato transfer as an audio effect
di: Hyrkas, Jeremy
Pubblicazione: (2025)

Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems
di: Ronchini, Francesca, et al.
Pubblicazione: (2023)

Where are we in audio deepfake detection? A systematic analysis over generative and detection models
di: Li, Xiang, et al.
Pubblicazione: (2024)

Robustness assessment of large audio language models in multiple-choice evaluation
di: López, Fernando, et al.
Pubblicazione: (2025)

Speaker anonymization using neural audio codec language models
di: Panariello, Michele, et al.
Pubblicazione: (2023)

FxSearcher: gradient-free text-driven audio transformation
di: Ki, Hojoon, et al.
Pubblicazione: (2025)

Regularized autoregressive modeling and its application to audio signal reconstruction
di: Mokrý, Ondřej, et al.
Pubblicazione: (2024)

AxLSTMs: learning self-supervised audio representations with xLSTMs
di: Yadav, Sarthak, et al.
Pubblicazione: (2024)

STASE: A spatialized text-to-audio synthesis engine for music generation
di: Chi, Tutti, et al.
Pubblicazione: (2025)

Deep learning based spatial aliasing reduction in beamforming for audio capture
di: Guzik, Mateusz, et al.
Pubblicazione: (2025)

Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks
di: Das, Sneha, et al.
Pubblicazione: (2020)

Human-CLAP: Human-perception-based contrastive language-audio pretraining
di: Takano, Taisei, et al.
Pubblicazione: (2025)

DashengTokenizer: One layer is enough for unified audio understanding and generation
di: Dinkel, Heinrich, et al.
Pubblicazione: (2026)

Making deep neural networks work for medical audio: representation, compression and domain adaptation
di: Onu, Charles C
Pubblicazione: (2025)

Complexity boosted adaptive training for better low resource ASR performance
di: Lu, Hongxuan, et al.
Pubblicazione: (2024)

ICGAN: An implicit conditioning method for interpretable feature control of neural audio synthesis
di: Liu, Yunyi, et al.
Pubblicazione: (2024)

Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline
di: Riley, Xavier, et al.
Pubblicazione: (2024)

Exploring trends in audio mixes and masters: Insights from a dataset analysis
di: Mourgela, Angeliki, et al.
Pubblicazione: (2024)

Modeling strategies for speech enhancement in the latent space of a neural audio codec
di: Kammoun, Sofiene, et al.
Pubblicazione: (2025)

ACAVCaps: Enabling large-scale training for fine-grained and diverse audio understanding
di: Niu, Yadong, et al.
Pubblicazione: (2026)

A tunable binaural audio telepresence system capable of balancing immersive and enhanced modes
di: Hsu, Yicheng, et al.
Pubblicazione: (2024)

WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms
di: Yuksel, Goksenin, et al.
Pubblicazione: (2025)

Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models
di: Wu, Haibin, et al.
Pubblicazione: (2024)

Efficient learning-based sound propagation for virtual and real-world audio processing applications
di: Ratnarajah, Anton Jeran
Pubblicazione: (2024)

ParaCLAP -- Towards a general language-audio model for computational paralinguistic tasks
di: Jing, Xin, et al.
Pubblicazione: (2024)

audio2chart: End to End Audio Transcription into playable Guitar Hero charts
di: Tripodi, Riccardo
Pubblicazione: (2025)

An audio-quality-based multi-strategy approach for target speaker extraction in the MISP 2023 Challenge
di: Han, Runduo, et al.
Pubblicazione: (2024)