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Home > All Category Datasets > Speech Recognition Datasets > 769 Hours French Speech Dataset for ASR and Voice AI Training

769 Hours French Speech Dataset for ASR and Voice AI Training

french speech dataset
french asr dataset
french speech recognition dataset
french audio dataset
automatic speech recognition dataset

This dataset contains 769 hours of French scripted monologue speech collected from 1,623 native speakers using mobile devices. The recordings are based on predefined prompts and cover general speech scenarios. Each audio sample includes accurate transcripts and additional metadata 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, 16bit, uncompressed wav, mono channel
Content category
oral category; human-machine interaction category; smart home command and in-car command category; numbers; news category;
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
France(FRA)
Language(Region) Code
fr-FR
Language
French
Speaker
1,623 speakers totally, with 46% male and 54% female;
Features of annotation
Transcription text
Device
Android mobile phone, iPhone
Accuracy rate
Word Accuracy Rate(WAR) 95%
Sample Sample
  • Audio

    Rien n’était moins sûr, vendredi matin, tant le compromis sur la table ressemblait à un patchwork de desiderata nationaux.

  • Audio

    J'aimerais programmer la musique en mode aléatoire.

  • Audio

    Treize heures et vingt-huit minutes du soir

  • Audio

    Que ramener de Kaboul ?

  • Audio

    Papa ne nous a peut-être pas abandonnés.

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french speech dataset french asr dataset french voice dataset french ner dataset spoken entity dataset entity recognition dataset
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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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