Zobrazeno 1 - 10
of 392
pro vyhledávání: '"Peissig, P."'
Autor:
Saini, Shivam, Peissig, Jürgen
This contribution introduces a dataset of 7th-order Ambisonic Room Impulse Responses (HOA-RIRs), created using the Image Source Method. By employing higher-order Ambisonics, our dataset enables precise spatial audio reproduction, a critical requireme
Externí odkaz:
http://arxiv.org/abs/2411.14207
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-24 (2024)
Abstract Audio augmented reality (AAR), a prominent topic in the field of audio, requires understanding the listening environment of the user for rendering an authentic virtual auditory object. Reverberation time ( $$RT_{60}$$ R T 60 ) is a predomina
Externí odkaz:
https://doaj.org/article/b872d84aa1044570be0ce7de619b76d3
The ETSI has recently introduced the DECT-2020 New Radio (NR) as an IMT-2020 candidate technology for the mMTC and URLLC use cases. To consider DECT-2020 NR as an IMT-2020 technology, the ITU-R has determined different independent evaluation groups t
Externí odkaz:
http://arxiv.org/abs/2104.08549
Training convolutional recurrent neural networks on first-order Ambisonics signals is a well-known approach when estimating the direction of arrival for speech/sound signals. In this work, we investigate whether increasing the order of Ambisonics up
Externí odkaz:
http://arxiv.org/abs/2102.09853
Modern communication systems organize receivers in blocks in order to simplify their analysis and design. However, an approach that considers the receiver design from a wider perspective rather than treating it block-by-block may take advantage of th
Externí odkaz:
http://arxiv.org/abs/2012.02523
Accurate estimation of healthcare costs is crucial for healthcare systems to plan and effectively negotiate with insurance companies regarding the coverage of patient-care costs. Greater accuracy in estimating healthcare costs would provide mutual be
Externí odkaz:
http://arxiv.org/abs/2011.09497
We propose temporal Poisson square root graphical models (TPSQRs), a generalization of Poisson square root graphical models (PSQRs) specifically designed for modeling longitudinal event data. By estimating the temporal relationships for all possible
Externí odkaz:
http://arxiv.org/abs/2005.06462
Autor:
Kleiman, Ross S., Bennett, Paul S., Peissig, Peggy L., Berg, Richard L., Kuang, Zhaobin, Hebbring, Scott J., Caldwell, Michael D., Page, David
The widespread digitization of patient data via electronic health records (EHRs) has created an unprecedented opportunity to use machine learning algorithms to better predict disease risk at the patient level. Although predictive models have previous
Externí odkaz:
http://arxiv.org/abs/1907.01901
With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and e
Externí odkaz:
http://arxiv.org/abs/1901.02508
WEA-Acceptance Data—A Dataset of Acoustic, Meteorological, and Operational Wind Turbine Measurements
Publikováno v:
Data, Vol 9, Iss 3, p 46 (2024)
In this article, a dataset is described which combines wind turbine supervisory control and data acquisition (SCADA), meteorological and acoustical data and thus gives a detailed description of a wind farm and its atmospheric and acoustic environment
Externí odkaz:
https://doaj.org/article/7e7c34447ab44b429db77a0b75255b9d