Automatic speech recognition (ASR) is a crucial field of science due to its massive
applications that can be developed to help humans to improve their daily life tasks. Despite …

A fundamental challenge for current research on speech science and technology is
understanding and modeling individual variation in spoken language. Individuals have their …

This paper presents a sequence transcription approach for the automatic diacritization of
Arabic text. A recurrent neural network is trained to transcribe undiacritized Arabic text with …

Short vowels and other diacritics are not part of written Arabic scripts. Exceptions are made
for important political and religious texts and in scripts for beginning students of Arabic …

Proceedings of NAACL HLT 2007 Page 1 Proceedings of NAACL HLT 2007, Companion
Volume, pages 53–56, Rochester, NY, April 2007. cO2007 Association for Computational …

In this paper we present a recipe and language resources for training and testing Arabic
speech recognition systems using the KALDI toolkit. We built a prototype broadcast news …

Research in Arabic automatic speech recognition (ASR) is constrained by datasets of limited
size, and of highly variable content and quality. Arabic-language resources vary in the …

Arabic is usually written without short vowels and additional diacritics, which are
nevertheless important for several applications. We present a novel algorithm for restoring …

In this paper, we present a new and fast state-of-the-art Arabic diacritizer that guesses the
diacritics of words and then their case endings. We employ a Viterbi decoder at word-level …

In Modern Standard Arabic texts are typically written without diacritical markings. The
diacritics are important to clarify the sense and meaning of words. Lack of these markings …