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155 Hours Canadian French Conversational Speech Dataset for ASR & Voice AI
canadian french speech dataset
canadian french asr dataset
french speech dataset
french dialogue dataset
french canadian speech dataset
This dataset contains 155 hours of Canadian French conversational speech collected from spontaneous conversations based on predefined discussion topics across more than 20 domains. It includes transcriptions, speaker IDs, gender, age, 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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz 16bit, uncompressed wav, mono channel;
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;
Demographics
238 people in total, 36% male and 64% female;
Annotation
annotating for the transcription text, speaker identification, gender and noise symbols;
Device
Android mobile phone, iPhone;
Language
French;
Application scenarios
speech recognition; voiceprint recognition;
Accuracy rate
the word accuracy rate is not less than 98%
-
-
Sample
Audio
Ses premiers amours, tout ça t'sais ?[N]
Audio
Non, mais c'est c'est quoi que j'trouve beau?
Audio
Puis t'sais quand t'écoutes mettons des séries que là, ils ont trente-cinq ans puis tout ça puis là ta fille est une personne puis tout?
Audio
Tu es comme ah ah ah!
Audio
Donc euh t'sais quand tu vois des des premiers amours entre jeunes, puis t'sais c'est peu c'est c'est passionné c'est c'est ça ça c'est moins blasé.
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.