With a recent influx of voice generation methods, the threat introduced ...
Recent years brought advancements in using neural networks for represent...
The availability of compute and data to train larger and larger language...
Bicycle-sharing systems (BSS) have become a daily reality for many citiz...
Representation learning of spatial and geographic data is a rapidly
deve...
We selected 48 European cities and gathered their public transport timet...
Public transport agencies use social media as an essential tool for
comm...
Natural language processing of conversational speech requires the
availa...
Recent work raises concerns about the use of standard splits to compare
...
Automatic Speech Recognition (ASR) systems introduce word errors, which ...
Avaya Conversational Intelligence(ACI) is an end-to-end, cloud-based sol...
In this paper, we present a method for correcting automatic speech
recog...
Multi-label classification aims to classify instances with discrete
non-...
Multi-label classification aims to classify instances with discrete
non-...
An ASR system usually does not predict any punctuation or capitalization...
In the recent years, we have witnessed the development of multi-label
cl...
We study the performance of data-driven, a priori and random approaches ...
Scikit-multilearn is a Python library for performing multi-label
classif...
We propose using five data-driven community detection approaches from so...