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Home > All Category Datasets > Speech Recognition Datasets > 1464 Hours Large-Scale Canadian French Speech Dataset for AI Training

1464 Hours Large-Scale Canadian French Speech Dataset for AI Training

canadian french speech dataset
canadian french asr dataset
french dialogue dataset
french speech dataset
french canadian speech dataset

This dataset contains 1,464 hours of Canadian French conversational and monologue speech collected from authentic real-world scenarios, including user-generated content, daily conversations, variety shows, and other general domains. It includes transcriptions, speaker IDs, gender, and additional metadata. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, 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.

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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel
Content category
including interview, self-meida,variety show, etc.
Recording environment
Low background noise
Country
Canada(CAN)
Language(Region) Code
fr-CA
Language
French
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy
Word Accuracy Rate (WAR) 98%(Tags, gender, speakerID, accent, topic are not included in accuracy statistics due to subjectivity)
Sample Sample
  • Audio

    Nous sommes le trois août deux mille onze dans la ville de Victoria, en Colombie-Britannique.

  • Audio

    Il y a deux hommes, deux jeunes hommes sur le plancher, couchés.

  • Audio

    On faisait référence beaucoup à la série Selling Sunset. [N]

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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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