Work

Epitran: Precision G2P for Many Languages

Year: 2018

Type: conference-paper

Abstract: Epitran is a massively multilingual, multiple back-end system for G2P (grapheme-to-phoneme) transduction which is distributed with support for 61 languages.It takes word tokens in the orthography of a language and outputs a phonemic representation in either IPA or X-SAMPA.The main system is written in Python and is publicly available as open source software.Its efficacy has been demonstrated in multiple research projects relating to language transfer, polyglot models, and speech.In a particular ASR task, Epitran was shown to improve the word error rate over Babel baselines for acoustic modeling.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/57n9v6em7ihu

Authors: David R. Mortensen, Siddharth Dalmia, Patrick Littell

Institution: Carnegie Mellon University

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Defense Advanced Research Projects Agency, Advanced Research Projects Agency, Intelligence Advanced Research Projects Activity

Awards: G2515541506, G8016956108