Suchergebnisse - "Audio and Speech Processing (eess.AS)"

Breathing and Semantic Pause Detection and Exertion-Level Classification in Post-Exercise Speech

Autoren: Yuyu Wang Wuyue Xia Huaxiu Yao et al.

Quelle: Proceedings of the 3rd ACM International Workshop on Intelligent Acoustic Systems and Applications. :13-18

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2509.15473

Zero-shot KWS for children’s speech using layer-wise features from SSL models

Autoren: Subham Kutum Abhijit Sinha Hemant Kumar Kathania et al.

Quelle: Pattern Recognition Letters. 197:304-311

Schlagwörter: Human-Computer Interaction, Signal Processing (eess.SP), FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2508.21248

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

Autoren: Yi Zeng Jinwei Li Hui Zhu et al.

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

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2412.02327

Semantic Communication for the Internet of Sounds: Architecture, Design Principles, and Challenges

Autoren: Liang, Chengsi Sun, Yao Thomas, Christo Kurisummoottil et al.

Quelle: IEEE Wireless Communications. 32:188-195

Schlagwörter: Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Audio and Speech Processing

Zugangs-URL: http://arxiv.org/abs/2407.12203

Fast-VGAN: Lightweight Voice Conversion with Explicit Control of F0 and Duration Parameters

Autoren: Abrassart, Mathilde Obin, Nicolas Roebel, Axel

Weitere Verfasser: Abrassart, Mathilde Obin, Nicolas Roebel, Axel

Quelle: 13th edition of the Speech Synthesis Workshop. :181-188

Schlagwörter: Controllability, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Sound (cs.SD), [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO] Computer Science [cs], Durations Control, [INFO.INFO-SD] Computer Science [cs]/Sound [cs.SD], Pitch, Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Phonemes Control, Speech Synthesis, Audio and Speech Processing, Voice conversion

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2507.04817
https://hal.science/hal-05148026v1

Data Augmentation for Spoken Grammatical Error Correction

Autoren: Karanasou, Penny Qian, Mengjie Banno, Stefano et al.

Weitere Verfasser: Karanasou, Penny Qian, Mengjie Banno, Stefano et al.

Quelle: 10th Workshop on Speech and Language Technology in Education (SLaTE). :194-198

Schlagwörter: FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2507.19374

Natural Language-based Assessment of L2 Oral Proficiency using LLMs

Autoren: Banno, Stefano Ma, Rao Qian, Mengjie et al.

Weitere Verfasser: Banno, Stefano Ma, Rao Qian, Mengjie et al.

Quelle: 10th Workshop on Speech and Language Technology in Education (SLaTE). :189-193

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2507.10200
https://www.repository.cam.ac.uk/handle/1810/387540
https://doi.org/10.17863/cam.120285

The Risks and Detection of Overestimated Privacy Protection in Voice Anonymisation

Autoren: Panariello, Michele Meyer, Sarina Champion, Pierre et al.

Weitere Verfasser: Panariello, Michele Meyer, Sarina Champion, Pierre et al.

Quelle: 5th Symposium on Security and Privacy in Speech Communication. :8-12

Schlagwörter: evaluation, Audio and Speech Processing (eess.AS), voice privacy, FOS: Electrical engineering, electronic engineering, information engineering, speaker anonymisation, [INFO] Computer Science [cs], Audio and Speech Processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2507.22534
https://hal.science/hal-05300094v1/document
https://hal.science/hal-05300094v1
https://doi.org/10.21437/spsc.2025-2

Sparse wavefield reconstruction and denoising with boostlets

Autoren: Zea, Elias Laudato, Marco Andén, Joakim

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

VisionScores - A System-Segmented Image Score Dataset for Deep Learning Tasks

Autoren: Amezcua, Alejandro Romero Meraz, Mariano José Juan Rivera

Quelle: 2025 IEEE International Conference on Image Processing (ICIP). :2354-2359

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), Computer Vision and Pattern Recognition (cs.CV), FOS: Electrical engineering, electronic engineering, information engineering, Computer Vision and Pattern Recognition, Audio and Speech Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2506.23030

Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations

Autoren: Combes, Paolo Weinzierl, Stefan Obermayer, Klaus

Quelle: Journal of the Audio Engineering Society. 73:561-577

Schlagwörter: Machine Learning, FOS: Computer and information sciences, Sound (cs.SD), 68T07, Sound, Audio and Speech Processing (eess.AS), H.5.5, J.5, I.5.4, FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2509.07635

Estimation and Restoration of Unknown Nonlinear Distortion Using Diffusion

Autoren: Švento, Michal Moliner, Eloi Juvela, Lauri et al.

Quelle: Journal of the Audio Engineering Society. 73:519-532

Schlagwörter: Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Audio and Speech Processing

Zugangs-URL: http://arxiv.org/abs/2501.05959

Smooth Operators: LLMs Translating Imperfect Hints into Disfluency-Rich Transcripts

Autoren: Altinok, Duygu

Quelle: 12th edition of the Disfluency in Spontaneous Speech Workshop (DiSS 2025). :102-106

Schlagwörter: FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing

Zugangs-URL: http://arxiv.org/abs/2506.18510

Adapting Foundation Speech Recognition Models to Impaired Speech: A Semantic Re-chaining Approach for Personalization of German Speech

Autoren: Pokel, Niclas Moure, Pehuén Boehringer, Roman et al.

Quelle: 12th edition of the Disfluency in Spontaneous Speech Workshop (DiSS 2025). :82-86

Schlagwörter: FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computation and Language, Computation and Language (cs.CL), Audio and Speech Processing

Zugangs-URL: http://arxiv.org/abs/2506.21622

WSCoach: Wearable Real-time Auditory Feedback for Reducing Unwanted Words in Daily Communication

Autoren: Youpeng Zhang Nuwan Janaka Ashwin Ram et al.

Quelle: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 9:1-30

Schlagwörter: Human-Computer Interaction, FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2507.04238

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

Autoren: Sheng Lyu Chenshu Wu

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

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/2412.20142

AudioMiXR: Spatial Audio Object Manipulation with 6DoF for Sound Design in Augmented Reality

Autoren: Brandon Woodard Margarita Geleta Joseph J. LaViola et al.

Quelle: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 9:1-41

Schlagwörter: Human-Computer Interaction, FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), H.5.2, H.5.5, H.5.1, FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2502.02929

Design, analysis, and experimental validation of a stepped plate parametric array loudspeaker

Autoren: Woongji Kim Beomseok Oh Chayeong Kim et al.

Quelle: The Journal of the Acoustical Society of America. 158:2561-2576

Schlagwörter: FOS: Computer and information sciences, Sound (cs.SD), Sound, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Applied Physics (physics.app-ph), Audio and Speech Processing, Applied Physics

Zugangs-URL: http://arxiv.org/abs/2504.21171

Human-Inspired Computing for Robust and Efficient Audio-Visual Speech Recognition

Autoren: Qianhui Liu Jiadong Wang Yang Wang et al.

Quelle: IEEE Transactions on Computers. 74:2950-2961

Schlagwörter: FOS: Computer and information sciences, Sound (cs.SD), Sound, Multimedia, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Multimedia (cs.MM)

Zugangs-URL: http://arxiv.org/abs/2408.16564

WavRx: A Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic Model

Autoren: Yi Zhu Tiago Falk

Quelle: IEEE Journal of Biomedical and Health Informatics. 29:6353-6365

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 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, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39231049
http://arxiv.org/abs/2406.18731