Generating accurate word-level transcripts of recorded speech for language documentation
is difficult and time-consuming, even for skilled speakers of the target language. Automatic …

This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis, a
web front-end originally designed to provide access to the Kaldi automatic speech …

In this paper we discuss how AI can contribute to support the documentation and vitalization
of Indigenous languages and how that involves a delicate balancing of ensuring social …

Automatic Speech Recognition for low-resource languages has been an active field of
research for more than a decade. It holds promise for facilitating the urgent task of …

Automatic Speech Recognition (ASR) has made significant progress thanks to the advent of
deep neural networks (DNNs). In the context of under-resourced languages, for which few …

An increasing number of papers have been addressing issues related to low-resource
languages and the transcription bottleneck paradigm. After several years spent in Northern …

Large Language Models (LLMs) have become capable of generating highly fluent text in
certain languages, without modules specially designed to capture grammar or semantic …

It reports the development of an enhanced library OPAC prototype through integration of
language analysis tool and book reader in the retrieval interface. Language analysis or text …

Les systèmes de reconnaissance automatique de la parole atteignent désormais des
degrés de précision élevés sur la base d'un corpus d'entraînement limité à deux ou trois …

In this paper, we describe a participatory, collaborative, and cost-effective process for
creating translations in Oshiwambo, the most widely African language spoken in Namibia …