Results 41 to 50 of about 12,622 (268)

A lightweight approach to real-time speaker diarization: from audio toward audio-visual data streams

EURASIP Journal on Audio, Speech, and Music Processing
This manuscript deals with the task of real-time speaker diarization (SD) for stream-wise data processing. Therefore, in contrast to most of the existing papers, it considers not only the accuracy but also the computational demands of individual ...
Frantisek Kynych, Petr Cerva, Jindrich Zdansky, Torbjørn Svendsen, Giampiero Salvi   +4 more
doaj   +1 more source

Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

Fields, 2016
A pitch estimation device was proposed for live vocals to output appropriate pitch data through the musical instrument digital interface (MIDI). The intention was to ideally achieve unnoticeable latency while maintaining estimation accuracy.
doaj   +2 more sources

Measuring the Just Noticeable Difference for Audio Latency

Audio Mostly 2024 - Explorations in Sonic Cultures
All parts of an audio processing chain introduce latency. Previous studies have shown that high audio latency may negatively impact human performance in different scenarios, e.g., when performing live music or when interacting with real-time human-computer systems. However, is not yet known where the human perception threshold for audio latency lies, i.
Schmid, Andreas, Ambros, Maria, Bogon, Johanna, Wimmer, Raphael   +3 more
openaire   +2 more sources

Recent Advances and Perspectives on Field‐Effect Transistors for Artificial Visual Neuromorphic Systems

Advanced Science, EarlyView.
This review presents a comprehensive overview of FET‐based visual neuromorphic systems, covering their semiconductor materials, core device architectures, and operating mechanisms. It further reviews their implementation in emulating biological visual functions, addresses current technological challenges, and outlines future development directions. The
Liu Yaqian, Lang Menghua, Xu Yihang, Zhang Manyu, Lei Chunkang, Lu Xiaozhou, Dou Yi, Wang Lingli, Jiang Liying, Hu Yuanyuan, Chen Huipeng, Jiang Lang   +11 more
wiley   +1 more source

Tele‐proctoring for minimally invasive surgery across Japan: An initial step toward a new approach to improving the disparity of surgical care and supporting surgical education

Annals of Gastroenterological Surgery
Aim The aim of this study was to verify the clinical feasibility of tele‐proctoring using our ultra‐low latency communication system with shared internet access.
Ichiro Takemasa, Koichi Okuya, Kenji Okita, Emi Akizuki, Masaaki Miyo, Masayuki Ishii, Ryo Miura, Momoko Ichihara, Korai Takahiro, Eiji Oki, Mitsuhisa Takatsuki, Susumu Eguchi, Daisuke Ichikawa, Yuko Kitagawa, Yoshiharu Sakai, Masaki Mori   +15 more
doaj   +1 more source

The Intel neuromorphic DNS challenge

Neuromorphic Computing and Engineering, 2023
A critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them to state-of-the-art conventional solutions.
Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy Shea, Mike Davies   +7 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models [PDF]

, 2012
This research focuses on the removal of the singing voice in polyphonic audio recordings under real-time constraints. It is based on time-frequency binary masks resulting from the combination of azimuth, phase difference and absolute frequency spectral bin classification and harmonic-derived masks.
Ricard Marxer, Jordi Janer, Jordi Bonada
openaire   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Immersive Acoustics via Next-Generation Networks: Achieving High-Fidelity Audio in the Metaverse

IEEE Open Journal of the Communications Society
The rapid evolution of the Metaverse demands integrated solutions that merge advanced telecommunication networks with immersive audio technologies.
Claudia Rinaldi, Carlo Centofanti, Luca Comanducci, Mirco Pezzoli, Alberto Bernardini, Andrea Marotta, Fabio Antonacci   +6 more
doaj   +1 more source