Moroccan Dialect “Darija” Automatic Speech Recognition: A Survey

Labied, Maria; Belangour, Abdessamad

doi:10.1109/prml52754.2021.9520690

Cited by 6 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This database serves as a crucial resource for furthering advancements in ASR technology for the captivating Moroccan Dialect.  In 2021, Labied and Belangour [10] presented a comprehensive literature review on Moroccan Darija ASR, highlighting its growing importance in human-machine interaction. They outlined the specific constraints of the Moroccan Darija dialect and discussed the limited research on this under-resourced language compared to other international languages in the past.…”

Section: Related Workmentioning

confidence: 99%

MDVC corpus: empowering Moroccan Darija speech recognition

Ahmed,

Abdellah

2024

IJEECS

View full text Add to dashboard Cite

Automatic speech recognition (ASR) technology has significantly transformed human-machine interactions, but it remains limited in its representation of diverse languages and dialects. Moroccan Darija, the lively Moroccan dialect, has long been underrepresented in the realm of language technology. To address this gap, we present a novel corpus of audio files accompanied by meticulously transcribed Moroccan Darija speech. The corpus comprises 1,000 hours of diverse content, featuring multiple Moroccan accents, extracted from 80 YouTube channels. To standardize the representation of Moroccan Darija in our corpus, we made efforts to establish consistent writing norms and conventions. In addition to the dataset creation, we applied fine-tuning using the Wav2Vec2 model on the Moroccan Darija voice corpus (MDVC) dataset achieving a remarkable word error rate (WER) of 9%. This article discusses the current state of Moroccan Darija research, highlighting the scarcity of resources and the need for robust ASR systems. Our contribution offers a valuable resource for researchers and developers, and by standardizing the Darija language, we strive to improve ASR system for this low resource language.

show abstract

Section: Related Workmentioning

confidence: 99%

MDVC corpus: empowering Moroccan Darija speech recognition

Ahmed,

Abdellah

2024

IJEECS

View full text Add to dashboard Cite

show abstract

“…MSA is the official language of all countries in the Arab world. It is used in a range of contexts; namely, media, education, business, literature and in official or juridical written documents [15,16].…”

Section: Overviewmentioning

confidence: 99%

“…The Moroccan dialect is influenced by foreign words from the French or Spanish language [5]. To a greater or a lesser degree 11% from French, and less than 1% from both Spanish and Tamazight languages [18,12,16]. Nowadays, Morocco has reached approximately 37 million people divided into 12 regions of the kingdom.…”

Section: Overviewmentioning

confidence: 99%