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Home > All Category Datasets > Speech Recognition Datasets > 80 Hours Canadian French Speech Dataset with Transcripts for Conversational AI

80 Hours Canadian French Speech Dataset with Transcripts for Conversational AI

canadian french speech dataset
french canadian speech dataset
french speech dataset
canadian french corpus
canadian french audio dataset

This dataset contains 80 hours of Canadian French conversational speech collected through topic-guided dialogues covering more than 20 domains. The recordings capture natural spoken interactions. Each recording includes an accurate transcript, speaker ID, age, gender, and additional metadata. The dataset was collected from 126 native Canadian French speakers across diverse regions, enhancing model performance in real and complex tasks. The dataset has undergone quality validation by multiple 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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
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
126 native speakers in total, 48% male and 52% female;
Country
Canada(CAN);
Language(Region) Code
fr-CA;
Language
French;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise,PII redacted.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    [OVERLAP/] Si les autres [/OVERLAP], tu les reçois, tu sais que tu peux pas dire oui.

  • Audio

    Ouais.

  • Audio

    ça ne peut pas être par la voie de la Cour.

  • Audio

    parce qu'ils ne voudront jamais risquer ce scénario là.

  • Audio

    trancher un côté, tu enfin que tu regardes et waouh et en regardez hein.

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Dataset FAQs

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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