Results 61 to 70 of about 4,974,855 (283)
Arthritis Care &Research, EarlyView.Objective Posttraumatic osteoarthritis (PTOA) accounts for nearly 12% of osteoarthritis incidences and often occurs after anterior cruciate ligament (ACL) tear. Ensuring the uptake of preventive treatments for PTOA requires that investigators and clinicians understand factors influencing patients to seek preventive therapies.
Lily M. Waddell +10 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Promoting Resilience in Stress Management (PRISM) is a resilience coaching program designed for adolescents with chronic illness. We aimed to examine the perceived feasibility, acceptability, and appropriateness of PRISM among pediatric rheumatologists treating adolescents with chronic musculoskeletal pain and obtain recommendations for ...
Sabrina Gmuca +9 more
wiley +1 more source
Point neuron learning: a new physics-informed neural network architecture
EURASIP Journal on Audio, Speech, and Music ProcessingMachine learning and neural networks have advanced numerous research domains, but challenges such as large training data requirements and inconsistent model performance hinder their application in certain scientific problems. To overcome these challenges,
Hanwen Bi, Thushara D. Abhayapala
doaj +1 more source
Deep convolutional neural networks for double compressed AMR audio detection
IET Signal Processing, 2021 Detection of double compressed (DC) adaptive multi‐rate (AMR) audio recordings is a challenging audio forensic problem and has received great attention in recent years. Here, the authors propose to use convolutional neural networks (CNN) for DC AMR audio
Aykut Büker, Cemal Hanilçi
doaj +1 more source
Synth-AC: Enhancing Audio Captioning with Synthetic Supervision [PDF]
arXiv, 2023 Data-driven approaches hold promise for audio captioning. However, the development of audio captioning methods can be biased due to the limited availability and quality of text-audio data. This paper proposes a SynthAC framework, which leverages recent advances in audio generative models and commonly available text corpus to create synthetic text-audio
arxiv
EURASIP Journal on Audio, Speech, and Music Processing, 2015 Singer identification is a difficult topic in music information retrieval because background instrumental music is included with singing voice which reduces performance of a system.
Tushar Ratanpara, Narendra Patel
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.Acoustic emissions during direct laser interference patterning are shown to strongly correlate with surface texture depth. By implementing a closed‐loop control system utilizing acoustic feedback, consistent microstructures with uniform depth are achieved despite laser power fluctuations.
Tobias Steege +4 more
wiley +1 more source
Language-based Audio Retrieval Task in DCASE 2022 Challenge [PDF]
arXiv, 2022 Language-based audio retrieval is a task, where natural language textual captions are used as queries to retrieve audio signals from a dataset. It has been first introduced into DCASE 2022 Challenge as Subtask 6B of task 6, which aims at developing computational systems to model relationships between audio signals and free-form textual descriptions ...
arxiv +1 more source
EFFECTIVE ROBUST PATCHWORK METHOD TO THE VULNERABLE ATTACK FOR DIGITAL AUDIO WATERMARKING
ICTACT Journal on Image and Video Processing, 2018 This paper presents patchwork based digital audio watermarking. The advanced growth in transmission of digital data has resulted in a corresponding elevation in the need for copyright protection of signal.
Y D Chincholkar, Shalaka Pravin Kude
doaj +1 more source
Zero-shot audio captioning with audio-language model guidance and audio context keywords [PDF]
arXiv, 2023 Zero-shot audio captioning aims at automatically generating descriptive textual captions for audio content without prior training for this task. Different from speech recognition which translates audio content that contains spoken language into text, audio captioning is commonly concerned with ambient sounds, or sounds produced by a human performing an
arxiv