Purpose: This study aims to empirically test and analyze the role of Green Human Resource
Management (GHRM) and Green Supply Chain Management (GSCM) and Green Lifestyle …

Abstract The Donate Speech campaign has so far succeeded in gathering approximately
3600 h of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) …

Language technologies should be judged on their usefulness in real-world use cases. An
often overlooked aspect in natural language processing (NLP) research and evaluation is …

The surge of interest in culturally aware and adapted Natural Language Processing (NLP)
has inspired much recent research. However, the lack of common understanding of the …

General accent recognition (AR) models tend to directly extract low-level information from
spectrums, which always significantly overfit on speakers or channels. Considering accent …

We introduce RoDia, the first dataset for Romanian dialect identification from speech. The
RoDia dataset includes a varied compilation of speech samples from five distinct regions of …

Dialect identification is a critical task in speech processing and language technology,
enhancing various applications such as speech recognition, speaker verification, and many …

We present a method for analyzing character errors for use with character-based, end-to-
end ASR systems, as used herein for investigating dialectal speech. As end-to-end systems …

Dialect classification is used in a variety of applications, such as machine translation and
speech recognition, to improve the overall performance of the system. In a real-world …

Low-resource languages and dialects, such as Swiss German, require systems that can
generalize over several languages to develop state-of-the-art speech translation and …