mlsanityData to 13 Oct 2026

ArTST: Arabic Text and Speech Transformer

arXiv 2310.16621 ↗First posted 25 Oct 2023cs.CL cs.AI cs.SDcited by 14

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Abstract (arXiv)

We present ArTST, a pre-trained Arabic text and speech transformer for supporting open-source speech technologies for the Arabic language. The model architecture follows the unified-modal framework, SpeechT5, that was recently released for English, and is focused on Modern Standard Arabic (MSA), with plans to extend the model for dialectal and code-switched Arabic in future editions. We pre-trained the model from scratch on MSA speech and text data, and fine-tuned it for the following tasks: Automatic Speech Recognition (ASR), Text-To-Speech synthesis (TTS), and spoken dialect identification. In our experiments comparing ArTST with SpeechT5, as well as with previously reported results in these tasks, ArTST performs on a par with or exceeding the current state-of-the-art in all three tasks. Moreover, we find that our pre-training is conducive for generalization, which is particularly evident in the low-resource TTS task. The pre-trained model as well as the fine-tuned ASR and TTS models are released for research use.

Key facts. Cited by 14 papers in the map (data through 13 Oct 2026). Builds on 20 of its 34 references that are in the map. First posted on arXiv 25 Oct 2023.

Builds on

20 of 34 references.

References · 20

  1. 2017Attention Is All You Needcited by 60,106
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  5. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,004
  6. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,870
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  8. 2021XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalecited by 594
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  12. 2019Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Modelcited by 92
8 more
  1. 2017Multilingual Speech Recognition With A Single End-To-End Modelcited by 87
  2. 2021AraT5: Text-to-Text Transformers for Arabic Language Generationcited by 63
  3. 2021QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpuscited by 38
  4. 2023ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpuscited by 14
  5. 2022Heterogeneous Target Speech Separationcited by 13
  6. 2023On the Robustness of Arabic Speech Dialect Identificationcited by 13
  7. 2017Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Modelcited by 6
  8. 2023Supervised Acoustic Embeddings And Their Transferability Across Languagescited by 1

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Citing papers per year: 2024: 4; 2025: 6; 2026: 4.

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