Document - Phoné: an Initiative to develop a dataset for the automatic recognition of spoken Italian

2025

Journal article Open Access

Phoné: an Initiative to develop a dataset for the automatic recognition of spoken Italian

Coro G., Cutugno F., Schettino L., Tanda E., Vietti A., Vitale V. N.

Speech technology Automatic speech recognition Large Language Models

Large Language Models (LLM) have revolutionised natural language processing and its applications. However, high-performance LLMs require copious data and computing resources for their development and are rarely public. This also concerns Large Acoustic Models (LAM) for processing spoken language. The Phoné initiative seeks to build an open Italian speech dataset to advance Automatic Speech Recognition (ASR) systems and support public research. Spearheaded by institutions in Naples, Pisa, and Bolzano, the project gathers diverse Italian audio sources and applies advanced ASR architectures, including supervised and self-supervised models. This paper details Phoné’s dataset creation, ASR model evaluation, and ethical considerations, aiming to democratise access to Italian-language resources and foster innovation in ASR technologies.

Source: ORAL ARCHIVES JOURNAL, vol. 1

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@article{oai:iris.cnr.it:20.500.14243/541331,
	title = {Phoné: an Initiative to develop a dataset for the automatic recognition of spoken Italian},
	author = {Coro G. and Cutugno F. and Schettino L. and Tanda E. and Vietti A. and Vitale V.  N.},
	doi = {10.36253/oar-3340},
	year = {2025}
}