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470 Hours French Speech Dataset with Real-World Conversations and Speaker Metadata

french speech dataset
voice assistant dataset
french audio dataset
european speech dataset
french asr dataset

This dataset contains 470 hours of French conversational speech collected through topic-based dialogues using mobile phone recordings. Topic covering more than 20 real-world domains. Each audio recording includes accurate transcripts, speaker ID, gender, age, and additional metadata. The dataset was collected from 822 native French speakers with diverse geographic and demographic backgrounds, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
822 native speakers in total, 41% male and 59% female;
Country
France(FRA);
Language(Region) Code
fr-FR;
Language
French;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise, PII redacted.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    Alors, euh mon style actuellement et plutôt euh non binaire.

  • Audio

    tu dégages quelque chose et en ce sens là, je pense que la mode t'aide et euh, et c'est important.

  • Audio

    c'est-à-dire que je ne vais pas euh forcément opter pour un style très féminim ou un style très masculin.

  • Audio

    Comment tu décrirais ton style ?

  • Audio

    je vais porter des vêtements qui hiii qui seront sans genre particulier

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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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