ID int64 1 6 | Audio stringclasses 6
values | Text stringclasses 6
values |
|---|---|---|
1 | audio/1.wav | text/1.txt |
2 | audio/2.wav | text/2.txt |
3 | audio/3.wav | text/3.txt |
4 | audio/4.wav | text/4.txt |
5 | audio/5.wav | text/5.txt |
6 | audio/6.wav | text/6.txt |
French Speech Dataset for recognition task
Dataset comprises 547 hours of telephone dialogues in French, collected from 964 native speakers across various topics and domains, with an impressive 98% Word Accuracy Rate. It is designed for research in speech recognition, focusing on various recognition models, primarily aimed at meeting the requirements for automatic speech recognition (ASR) systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in natural language processing (NLP), speech recognition, and machine learning technologies. - Get the data
The dataset includes high-quality audio recordings with accurate transcriptions, making it ideal for training and evaluating speech recognition models.
💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.
Metadata for the dataset
- Audio files: High-quality recordings in WAV format
- Text transcriptions: Accurate and detailed transcripts for each audio segment
- Speaker information: Metadata on native speakers, including gender and etc
- Topics: Diverse domains such as general conversations, business and etc
"# Frequently Asked Questions
What types of conversations are included in this French speech dataset?
The dataset contains natural telephone conversations between native French speakers, capturing realistic dialogue patterns and spontaneous speech. Unlike datasets focused only on isolated words or commands, these recordings provide conversational context that helps AI models learn variations in pronunciation, speaking style, and everyday French communication.
How was the French speech data collected?
The recordings were collected through crowdsourcing platforms, allowing the dataset to include speech from multiple participants in realistic conversational settings.
Who can benefit from this French speech recognition dataset?
The dataset is useful for speech technology companies, ASR researchers, universities, conversational AI developers, call center technology providers, and organizations creating French-language voice applications. It can support projects involving transcription, speech analytics, virtual assistants, and natural language processing."
The native speakers and various topics and domains covered in the dataset make it an ideal resource for research community, allowing researchers to study spoken languages, dialects, and language patterns.
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