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First automatic fongbe continuous speech recognition system: Development of acoustic models and language models

Domaine:

natural language processing

Type de record:

paper
This paper reports our efforts toward an ASR system for a new under-resourced language (Fongbe). The aim of this work is to build acoustic models and language models for continuous speech decoding in Fongbe. The problem encountered with Fongbe (an African language spoken especially in Benin, Togo, and Nigeria) is that it does not have any language resources for an ASR system. As part of this work, we have first collected Fongbe text and speech corpora that are described in the following sections. Acoustic modeling has been worked out at a graphemic level and language modeling has provided two language models for performance comparison purposes. We also performed a vowel simplification by removing tones diacritics in order to investigate their impact on the language models.

Visit

ieeexplore.ieee.orghal.archives-ouvertes.fr

Connected records

dataset

Tasks

automatic speech recognitionlanguage modelingspeech processing

Languages

Fon

Similaires

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International audience no abstract

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In this paper we address the challenge of improving Automatic Speech Recognition (ASR) for a low-res