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pro vyhledávání: '"Berger, Jonathan"'
SIREN is a flexible, extensible, and customizable web-based general-purpose interface for auditory data display (sonification). Designed as a digital audio workstation for sonification, synthesizers written in JavaScript using the Web Audio API facil
Externí odkaz:
http://arxiv.org/abs/2403.19763
The acoustic space in which a sound is created and heard plays an essential role in how that sound is perceived by affording a unique sense of \textit{presence}. Every sound we hear results from successive convolution operations intrinsic to the soun
Externí odkaz:
http://arxiv.org/abs/2210.15750
In this paper, we propose a method for removing linguistic information from speech for the purpose of isolating paralinguistic indicators of affect. The immediate utility of this method lies in clinical tests of sensitivity to vocal affect that are n
Externí odkaz:
http://arxiv.org/abs/2210.15001
The inclusion of voice persona in synthesized voice can be significant in a broad range of human-computer-interaction (HCI) applications, including augmentative and assistive communication (AAC), artistic performance, and design of virtual agents. We
Externí odkaz:
http://arxiv.org/abs/2209.02855
Autor:
Verma, Prateek, Berger, Jonathan
Every sound that we hear is the result of successive convolutional operations (e.g. room acoustics, microphone characteristics, resonant properties of the instrument itself, not to mention characteristics and limitations of the sound reproduction sys
Externí odkaz:
http://arxiv.org/abs/2208.07994
Autor:
Berger, Jonathan Michael
This research proposed a new model for online interpersonal trust based on eight properties of new online social networks. Two elements were found to have significant contributions. These were the ability for users to create an online personal profil
Externí odkaz:
http://hdl.handle.net/2263/25418
http://upetd.up.ac.za/thesis/available/etd-06102012-113214/
http://upetd.up.ac.za/thesis/available/etd-06102012-113214/
Autor:
Salami, Aitua C., Rao, Madhuri, Berger, Jonathan, Diaz-Gutierrez, Ilitch, Khariwala, Samir S., Khaja, Sobia F., Sembrano, Jonathan N., Hunt, Matthew, Andrade, Rafael, Bhargava, Amit
Publikováno v:
In JTCVS Techniques June 2024 25:208-213
Audio Transformers:Transformer Architectures For Large Scale Audio Understanding. Adieu Convolutions
Autor:
Verma, Prateek, Berger, Jonathan
Over the past two decades, CNN architectures have produced compelling models of sound perception and cognition, learning hierarchical organizations of features. Analogous to successes in computer vision, audio feature classification can be optimized
Externí odkaz:
http://arxiv.org/abs/2105.00335
Autor:
Faber, Matthias, Buitkamp, Oliver, Ritz, Simon, Börner, Martin, Berger, Jonathan, Friedrich, Julian, Arzberger, Arno, Sauer, Dirk Uwe
Publikováno v:
In Journal of Power Sources 1 November 2023 583
Autor:
Verma, Prateek, Berger, Jonathan
We present a framework to model the perceived quality of audio signals by combining convolutional architectures, with ideas from classical signal processing, and describe an approach to enhancing perceived acoustical quality. We demonstrate the appro
Externí odkaz:
http://arxiv.org/abs/1912.05683