Arabic intonatif speech database

Boukadida, Fatouma; Ellouze, Noureddine

doi:10.1109/icit.2004.1490768

Cited by 3 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The need for expert language-specific knowledge is a major bottleneck for the development of corpus-based text-to-speech systems. Owing to the absence of a commercial Arabic speech database, Boukadida et al [70] developed an Arabic intonatif database to generate prosodic calculations for synthesized sentences. RDI and ENSIAS created an Arabic voice corpus for TTS applications as a part of the NEMLAR project [71].…”

Section: Existing Open Access Corpusmentioning

confidence: 99%

Advancements in Arabic Text-to-Speech Systems: A 22-Year Literature Review

Chemnad

Othman

2023

IEEE Access

View full text Add to dashboard Cite

Although there are several speech synthesis models available for different languages tailored to specific domain requirements and applications, there is currently no readily available information on the latest trends in Arabic language speech synthesis. This can make it challenging for beginners to research and develop text-to-speech (TTS) systems for Arabic languages. To address this issue, this article provides a comprehensive overview of several scholars' contributions to the field of Arabic TTS, along with an examination of the unique features of the Arabic language and the corresponding challenges in creating TTS systems. Reporting only on papers discussing Arabic TTS, this systematic review evaluated the available literature published between 2000 and 2022. We conducted a systematic review in six databases using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines to identify studies that addressed Arabic Text-to-Speech systems. Of a total of 3719 articles identified, only 36 (0.96%) articles met our search criteria. Bibliometric analyses of these studies were conducted and reported. The results highlight the main types of speech synthesis techniques used in TTS systems: concatenative, formant, deep neural network (DNN), hybrid models, and multiagent. The corpora used to develop these systems, as well as the diacritization techniques incorporated, evaluation techniques, and the results of the performance of the systems are reported. Subjective evaluation using the mean opinion score is most applied to measure the accuracy of systems. This study also identifies gaps in the literature and makes recommendations for future research directions.

show abstract

Section: Existing Open Access Corpusmentioning

confidence: 99%

Advancements in Arabic Text-to-Speech Systems: A 22-Year Literature Review

Chemnad

Othman

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In addition, amongst the 6 types of Arabic syllables, the most used ones are present in the corpus, i.e. /CV/, /CVV/, /CVC/ and /CVVC/ [10]. This corpus was first translated into phonetics, then segmented and labeled using spectrogram and waveform tools.…”

Section: Corpus Analysis 21 Speech Materialsmentioning

confidence: 99%

Design and Development of a Prosody Generator for Arabic TTS Systems

Mnasri¹,

Boukadida²,

Ellouze³

2010

IJCA

View full text Add to dashboard Cite

Prosody modeling has become the backbone of TTS synthesis systems. Amongst all the prosodic modeling approaches, phonetic methods aiming to predict duration and F0 contour are being very praised, thanks to the development of regression tools, such as neural networks (NN). Besides, parametric representations like Fujisaki model for F 0 contour generation help to reduce the problem into the approximation of parameters only. But, prior to the prediction process, text analysis should be carried out first, to select and encode the necessary input features. In our purpose to promote Arabic TTS synthesis, an Integrated Model of Arabic Prosody for Speech Synthesis (IMAPSS) tool has been designed to integrate our developed models for text analysis, NN-based phonemic duration prediction and Fujisaki-inspired F 0 contour. Hence, the yielding parameters provide a command file to be read by speech synthesis systems, like MBROLA.

show abstract

Modern Standard Arabic Speech Corpora: A Systematic Review

et al. 2023

View full text Add to dashboard Cite

Speech processing applications have become integral components across various domains of modern life. The design and preparation of a reliable recognition system rely heavily on the availability of suitable speech databases. While numerous speech databases exist for English and other languages, the availability of comprehensive resources for Arabic language remains limited. In light of this, we conducted a systematic review aiming to identify, analyse, and classify existing Modern Standard Arabic speech databases. Through our review, we identified 27 publicly available databases and analysed an additional 80 subjective databases. These databases were thoroughly studied, classified based on their characteristics, and subjected to a detailed analysis of research trends in the field. This paper provides a comprehensive discussion on the diverse speech databases developed for various speech processing applications. It sheds light on the purposes and unique characteristics of Arabic speech databases, enabling researchers to easily access suitable resources for their specific applications. The findings of this review contribute to bridging the gap in available Arabic speech databases and serve as a valuable resource for researchers in the field.

show abstract

Arabic intonatif speech database

Cited by 3 publications

References 2 publications

Advancements in Arabic Text-to-Speech Systems: A 22-Year Literature Review

Advancements in Arabic Text-to-Speech Systems: A 22-Year Literature Review

Design and Development of a Prosody Generator for Arabic TTS Systems

Modern Standard Arabic Speech Corpora: A Systematic Review

Contact Info

Product

Resources

About