Results 241 to 250 of about 17,083,400 (305)

RedoxDB and RedEx: closing the DFT-experiment domain gap in redox potential prediction with transfer learning. [PDF]

Chem Sci
Doan DM, Song Q, Kucernak A, Jelfs KE.
europepmc   +1 more source

Considerations Regarding Individualization of Head-Related Transfer Functions

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
This paper provides some considerations regarding using individualized head-related transfer functions for rendering binaural spatial audio over headphones. It briefly considers the degree of benefit that individualization may provide. It then examines the degree of variation existing within the ear morphology across listeners within the Sydney-York ...
Craig T. Jin, Reza Zolfaghari, Xian Long, Arun Sebastian, Shayikh Hossain, Joan Alexis Glaunès, Anthony I. Tew, Muhammad Shahnawaz, Augusto Sarti   +8 more
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Personalizing head related transfer functions for earables

Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 2021
Head related transfer functions (HRTF) describe how sound signals bounce, scatter, and diffract when they arrive at the head, and travel towards the ears. HRTFs produce distinct sound patterns that ultimately help the brain infer the spatial properties of the sound, such as its direction of arrival, 𝜃.
Zhijian Yang, Romit Roy Choudhury
openaire   +1 more source

On the detection of dispersion in the head-related transfer function

The Journal of the Acoustical Society of America, 2003
Because of dispersion in head-related transfer functions (HRTFs), the interaural time difference (ITD) varies with frequency. This physical effect ought to have consequences for the size or shape of the auditory image of broadband noise because different frequency regions of the noise have different ITDs.
Zachary A, Constan, William M, Hartmann
openaire   +2 more sources