Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
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Abstract (arXiv)
We present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus. Speech-MASSIVE covers 12 languages from different families and inherits from MASSIVE the annotations for the intent prediction and slot-filling tasks. Our extension is prompted by the scarcity of massively multilingual SLU datasets and the growing need for versatile speech datasets to assess foundation models (LLMs, speech encoders) across languages and tasks. We provide a multimodal, multitask, multilingual dataset and report SLU baselines using both cascaded and end-to-end architectures in various training scenarios (zero-shot, few-shot, and full fine-tune). Furthermore, we demonstrate the suitability of Speech-MASSIVE for benchmarking other tasks such as speech transcription, language identification, and speech translation. The dataset, models, and code are publicly available at: https://github.com/hlt-mt/Speech-MASSIVE
Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Builds on 19 of its 23 references that are in the map. First posted on arXiv 7 Aug 2024.
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References · 19
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
- 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,342
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
- 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 476
- 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 469
- 2018Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfacescited by 377
- 2019MLQA: Evaluating Cross-lingual Extractive Question Answeringcited by 340
- 2020SLURP: A Spoken Language Understanding Resource Packagecited by 198
- 2022MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languagescited by 146
7 more
- 2019Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debatescited by 114
- 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
- 2020End-to-End Slot Alignment and Recognition for Cross-Lingual NLUcited by 83
- 2020CoVoST 2 and Massively Multilingual Speech-to-Text Translationcited by 74
- 2019MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Biblecited by 24
- 2022MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialoguecited by 15
- 2023ITALIC: An Italian Intent Classification Datasetcited by 10
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Citing papers per year: 2024: 2; 2025: 7; 2026: 11.
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- 2026Massive Sound Embedding Benchmark (MSEB)cited by 9
- 2024SpeechTaxi: On Multilingual Semantic Speech Classificationcited by 6
- 2025SENSE models: an open source solution for multilingual and multimodal semantic-based taskscited by 6
- 2025Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Datacited by 6
- 2025Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparisoncited by 5
- 2025"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understandingcited by 5
- 2025Exploring Generative Error Correction for Dysarthric Speech Recognitioncited by 3
- 2025Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialectscited by 2
- 2026GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Modelscited by 2
- 2024Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collectioncited by 1
- 2026TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wildcited by 1
- 2026WorldSpeech: A Multilingual Speech Corpus from Around the Worldcited by 1
8 more
- 2026Selective Capability Unlearning in End-to-End Spoken Language Understandingcited by 1
- 2026Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Fillingcited by 1
- 2025"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understandingcited by 0
- 2026SLURP-TN : Resource for Tunisian Dialect Spoken Language Understandingcited by 0
- 2026Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB)cited by 0
- 2026Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs?cited by 0
- 2026NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Taskcited by 0
- 2026τ-Multilingual: Benchmarking Voice Agents Across Languagescited by 0
- 2026NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task22 Sep 2026
- 2026τ-Multilingual: Benchmarking Voice Agents Across Languages21 Sep 2026
- 2026Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Filling19 Aug 2026
- 2026Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs?24 Jun 2026
- 2026Selective Capability Unlearning in End-to-End Spoken Language Understanding23 Jun 2026
- 2026GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models6 Jun 2026
- 2026WorldSpeech: A Multilingual Speech Corpus from Around the World9 May 2026
- 2026Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB)6 May 2026
- 2026SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding23 Mar 2026
- 2026TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild23 Mar 2026
- 2026Massive Sound Embedding Benchmark (MSEB)6 Feb 2026
- 2025Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects9 Oct 2025
8 more
- 2025Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data18 Sep 2025
- 2025SENSE models: an open source solution for multilingual and multimodal semantic-based tasks15 Sep 2025
- 2025"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding26 May 2025
- 2025Exploring Generative Error Correction for Dysarthric Speech Recognition26 May 2025
- 2025"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding21 May 2025
- 2025Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison4 Jan 2025
- 2024Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collection16 Dec 2024
- 2024SpeechTaxi: On Multilingual Semantic Speech Classification10 Sep 2024
- 2026Massive Sound Embedding Benchmark (MSEB)cited by 9
- 2024SpeechTaxi: On Multilingual Semantic Speech Classificationcited by 6
- 2025SENSE models: an open source solution for multilingual and multimodal semantic-based taskscited by 6
- 2025Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Datacited by 6
- 2025Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparisoncited by 5
- 2025Exploring Generative Error Correction for Dysarthric Speech Recognitioncited by 3
- 2025Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialectscited by 2
- 2026GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Modelscited by 2
- 2024Speech Foundation Models and Crowdsourcing for Efficient, High-Quality Data Collectioncited by 1
- 2026TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wildcited by 1
- 2026WorldSpeech: A Multilingual Speech Corpus from Around the Worldcited by 1
- 2026Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Fillingcited by 1
12 most cited of 18 All 18 (JSON)
- 2026NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task22 Sep 2026
- 2026τ-Multilingual: Benchmarking Voice Agents Across Languages21 Sep 2026
- 2026Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Filling19 Aug 2026
- 2026Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs?24 Jun 2026
- 2026GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language Models6 Jun 2026
- 2026WorldSpeech: A Multilingual Speech Corpus from Around the World9 May 2026
- 2026Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB)6 May 2026
- 2026SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding23 Mar 2026
- 2026TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild23 Mar 2026
- 2026Massive Sound Embedding Benchmark (MSEB)6 Feb 2026
- 2025Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects9 Oct 2025
- 2025Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data18 Sep 2025
12 newest of 18 All 18 (JSON)