Výsledky vyhľadávania - "Computer Science - Sound"

Switchable Deep Beamformer for High-quality and Real-time Passive Acoustic Mapping

Autori: Yi Zeng Jinwei Li Hui Zhu a ďalší

Zdroj: Ultrasound in Medicine & Biology. 51:1901-1914

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2412.02327

Sparse wavefield reconstruction and denoising with boostlets

Autori: Zea, Elias Laudato, Marco Andén, Joakim

Zdroj: 2025 International Conference on Sampling Theory and Applications (SampTA). :1-5

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Beräkningsmatematik, wavefields, Signalbehandling, Fluid Mechanics, multi-scale representations, sparse reconstruction, Strömningsmekanik, Computer Science - Sound, Computational Mathematics, Audio and Speech Processing (eess.AS), Signal Processing, denoising, FOS: Electrical engineering, electronic engineering, information engineering, boostlets, Electrical Engineering and Systems Science - Audio and Speech Processing

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2502.08230
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369265

ASE: Practical Acoustic Speed Estimation Beyond Doppler via Sound Diffusion Field

Autori: Sheng Lyu Chenshu Wu

Zdroj: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 9:1-26

Predmety: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), Computer Science - Human-Computer Interaction, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Prístupová URL adresa: http://arxiv.org/abs/2412.20142

PITCH: AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response

Autori: Govind Mittal Arthur Jakobsson Kelly Marshall a ďalší

Zdroj: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :559-575

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Computer Science - Cryptography and Security, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Cryptography and Security (cs.CR), Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2402.18085

Where are We in Audio Deepfake Detection? A Systematic Analysis over Generative and Detection Models

Autori: Xiang Li Pin-Yu Chen Wenqi Wei

Zdroj: ACM Transactions on Internet Technology. 25:1-19

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2410.04324

ISAC: An Invertible and Stable Auditory Filter Bank with Customizable Kernels for ML Integration

Autori: Haider, Daniel Perfler, Felix Balazs, Peter a ďalší

Zdroj: 2025 International Conference on Sampling Theory and Applications (SampTA). :1-5

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Computer Science - Sound, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2505.07709

A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning

Autori: Luís Vilaça Yi Yu Paula Viana

Zdroj: ACM Computing Surveys. 57:1-46

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Multimedia, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Multimedia (cs.MM)

Prístupová URL adresa: http://arxiv.org/abs/2412.00049

TinyML for Speech Recognition

Autori: Barovic, Andrew Moin, Armin

Zdroj: 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). :1631-1636

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2504.16213

CAtCh: Cognitive Assessment through Cookie Thief

Autori: Colonel, Joseph T Hagler, Carolyn Wismer, Guiselle a ďalší

Zdroj: 2025 IEEE International Conference on Digital Health (ICDH). :154-162

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2506.06603

SonicBoom: Contact Localization Using Array of Microphones

Autori: Moonyoung Lee Uksang Yoo Jean Oh a ďalší

Zdroj: IEEE Robotics and Automation Letters. 10:7603-7610

Predmety: FOS: Computer and information sciences, Computer Science - Robotics, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Robotics (cs.RO), Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2412.09878

ParaLBench: A Large-Scale Benchmark for Computational Paralinguistics Over Acoustic Foundation Models

Autori: Zixing Zhang Weixiang Xu Zhongren Dong a ďalší

Zdroj: IEEE Transactions on Affective Computing. 16:1290-1306

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2411.09349

Subband splitting: Simple, efficient and effective technique for solving block permutation problem in determined blind source separation

Autori: Matsumoto, Kazuki Yatabe, Kohei

Zdroj: Acoustical Science and Technology. 46:326-337

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2409.09294

Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models

Autori: Anna Derington Hagen Wierstorf Ali Özkil a ďalší

Zdroj: IEEE Transactions on Affective Computing. 16:1929-1941

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2312.06270

EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech Via Emotion-Adaptive Spherical Vector

Autori: Deok-Hyeon Cho Hyung-Seok Oh Seung-Bin Kim a ďalší

Zdroj: IEEE Transactions on Affective Computing. 16:2365-2380

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2411.02625

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations Without Text Alignment

Autori: Hyung-Seok Oh Sang-Hoon Lee Deok-Hyeon Cho a ďalší

Zdroj: IEEE Transactions on Affective Computing. 16:1660-1674

Predmety: Computer Science - Artificial Intelligence, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2401.08095

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

Autori: Alaa Nfissi Wassim Bouachir Nizar Bouguila a ďalší

Zdroj: IEEE Transactions on Affective Computing. 16:1839-1854

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.6, I.2.7, Computer Science - Sound, I.2.0, I.2.1, Artificial Intelligence (cs.AI), Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language (cs.CL), Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2502.00310

The Sound of Water: Inferring Physical Properties from Pouring Liquids

Autori: Bagad, P Tapaswi, M Snoek, CGM a ďalší

Zdroj: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Multimedia, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Multimedia (cs.MM)

Prístupová URL adresa: http://arxiv.org/abs/2411.11222
https://ora.ox.ac.uk/objects/uuid:07d1a949-5536-444b-9c99-333321c10ef5
https://doi.org/10.1109/icassp49660.2025.10889950

Investigating the Effectiveness of Explainability Methods in Parkinson’s Detection from Speech

Autori: Mancini, Eleonora Paissan, Francesco Torroni, Paolo a ďalší

Zdroj: 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). :1-5

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Interpretable Deep Learning, Neural Network Explanations, Parkinson's Detection, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2411.08013
https://ieeexplore.ieee.org/document/11011035
https://doi.org/10.1109/icasspw65056.2025.11011035
https://hdl.handle.net/11585/1023488

Estimating Musical Surprisal in Audio

Autori: Bjare, Mathias Rose Cantisani, Giorgia Lattner, Stefan a ďalší

Zdroj: Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025)

Predmety: FOS: Computer and information sciences, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Prístupová URL adresa: http://arxiv.org/abs/2501.07474

LMAC-TD: Producing Time Domain Explanations for Audio Classifiers

Autori: Eleonora Mancini Francesco Paissan Mirco Ravanelli a ďalší

Zdroj: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Predmety: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Future Artificial Intelligence Research, Electrical Engineering and Systems Science - Signal Processing, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2409.08655
https://hdl.handle.net/11585/1014390
https://ieeexplore.ieee.org/document/10890448
https://doi.org/10.1109/ICASSP49660.2025.10890448