Other

This data-set was used for the localization of an emitter based on Time Difference of Arrival (TDoA). 

The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem. 

An extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.

A new approach for fabricating spot size converters (SSCs), using self-written tapered pillars, is reported.  The method uses a UV-curable resin and mask transfer technique in order to fabricate pillar structures. These structures are designed to couple from Si-wire waveguides to silica single mode fiber (SMF).The technique improvises upon classic single shot fabrication, previously reported using an aperture-limited self-written waveguide (SWW) approach. Design optimization of the SSC was inferred through using a beam propagation method (BPM).

The presented dataset has been used as a basis for CAO - a system for analysis of emoticons in Japanese online communication, developed by Ptaszynski et al. (2010). Emoticons are strings of symbols widely used in text-based online communication to convey user emotions. The database contains: 1) a predetermined raw emoticon database containing over ten thousand emoticon samples extracted from the Web, 2) emoticon parts automatically divided from raw emoticons into semantic areas representing “mouths” or “eyes”.

We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.

A second version of the dataset was introduced in https://arxiv.org/abs/2106.06147

This dataset aim to promote research in the acoustic reasoning area.

It comprise Acoustic Scenes and multiple questions/answers for each of them.