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Home > All Category Datasets > Speech Recognition Datasets > INTERSPEECH 2026 MLC-SLM Challenge Dataset

INTERSPEECH 2026 MLC-SLM Challenge Dataset

INTERSPEECH
MLC-SLM

The INTERSPEECH 2026 MLC-SLM Challenge Dataset, curated by Datatang, is derived from fifteen proprietary conversational speech corpora. Distinguished by exceptional annotation accuracy and operational reliability, this dataset is engineered to address critical challenges in multilingual automatic speech recognition (ASR) and long-context comprehension. It meticulously replicates real-world complexities including spontaneous interruptions and speaker overlaps, thereby providing robust training resources for developing world-ready ASR systems. All data collection and processing strictly comply with international privacy regulations including GDPR, CCPA and PIPL, with rigorous protocols ensuring participant anonymity and ethical data usage throughout the lifecycle.

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SpecificationsSpecifications
Format
16kHz, 16bit, uncompressed wav, mono channel;
Recording Environment
quiet indoor environment, without echo;
Recording content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;
Annotation
annotating for the transcription text, speaker identification, gender;
Device
Android mobile phone, iPhone;
Language
American English/British English/Filipino English/Australian English/Indian English/French/German/Italian/Japanese/Korean/Portuguese(Europe)/Russian/Spanish(Spain)/Thai/Vietnamese/French(Canada)/Portuguese(Brazil)/Spanish(Mexico)/Tagalog/Turkish/Urdu.
Sample Sample
  • Audio

    And we are going to talk about celebrities so Seville, why don't you tell me some of your favorite celebrities?

  • Audio

    Yeah, I mean speaking of the Kardashians, I just think it's so weird how their career excelled. You know.

  • Audio

    Well, I I mean I I couldn't tell you for sure without actually living it. Maybe for like a week or something.

  • Audio

    Oui bien sûr, j'ai vu surtout euh voilà les couleurs tendances cette année.

  • Audio

    Cent-vingts euros pour une robe que je vais la porter pendant un mariage, je trouve que c'est assez raisonnable franchement.

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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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