CLFeb 28, 2012

Realisation d'un systeme de reconnaissance automatique de la parole arabe base sur CMU Sphinx

arXiv:1202.6266v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses speech recognition for Arabic speakers, but it is incremental as it builds directly on prior research.

The paper tackles the problem of continuous Arabic speech recognition by extending a previous digit-only system, achieving a recognition rate of around 96%.

This paper presents the continuation of the work completed by Satori and all. [SCH07] by the realization of an automatic speech recognition system (ASR) for Arabic language based SPHINX 4 system. The previous work was limited to the recognition of the first ten digits, whereas the present work is a remarkable projection consisting in continuous Arabic speech recognition with a rate of recognition of surroundings 96%.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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