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French Speech Recognition Dataset

This speech recognition dataset comprises 547 hours of telephone dialogues in French from 964 native speakers, providing audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for training and evaluating automatic speech recognition technology

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  • Hours
    547
  • Speakers
    964
  • Word Accuracy Rate
    98%
  • NLP
  • LLM
  • Machine Learning
  • Audio Processing
  • ASR
  • Voice Recognition
  • Hours
    547
  • Speakers
    964
  • Word Accuracy Rate
    98%

Dataset Info

Characteristic Data
Description Audio of telephone dialogues in French for training NLP models in real-world conversational scenarios.
Data types Audio
Tasks Speech recognition, NLP
Country France (FRA)
Hours of telephone dialogue 547
Number of speakers 964
Labeling Annotation (text content, speaker's ID, gender, age and other attributes)
Gender Male (41%), Female (59%)
Recording device Telephone
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Statistics

Distribution by gender

Technical
Characteristics

Characteristic Data
Audio Format PCM, a-law/u-law
Sampling Rate 8kHz
Number of Channels Mono
Recording condition Low background noise (indoor)
Source and collection methodology: Data was collected by a partner of Unidata.

Dataset Use Cases

  • Call Centers & Customer Service

    Improving French Telephone Dialogue Recognition

    French Telephone Dialogues Dataset provides authentic audio recordings of real conversations. Speech samples covering various accents and natural speech signals help companies train recognition systems for call centers. This supports faster call handling, accurate transcription, and better customer service in industries using automatic speech recognition.



  • AI & Machine Learning Research

    Training Models for French Speech Recognition

    This dataset serves as reliable training data for machine learning and deep learning models. It consists of high-quality audio files and transcriptions collected from native speakers, allowing researchers to build speech processing systems that achieve high accuracy in transcribing speech and speech translation tasks.



  • Multilingual Applications

    Supporting Natural Language Processing

    The French audio dataset enhances multilingual speech projects by providing speech samples aligned with other languages. Developers use it for natural language processing, cross-lingual speech translation, and recognition technology in global applications. Its diverse range of audio samples makes it ideal for creating more inclusive and adaptable recognition systems.



  • Commercial & Industrial Solutions

    Deploying Speech Recognition in Real-World Use Cases

    Businesses can leverage the dataset for commercial usage in areas like call centers, voice assistants, and transcription platforms. Since the database contains audio recordings from different speakers and conditions, companies can integrate recognition technology into commercial use cases with improved accuracy, reliability, and adaptability across multiple speech processing scenarios.



FAQs

What audio quality and format are provided?
The audio recordings are provided in PCM and a-law/u-law formats with a sampling rate of 8kHz. The mono-channel setup and low-noise indoor conditions ensure clarity for speech recognition models and machine learning training sets.
What accents and speech variations are represented?
The dataset includes various French accents and dialects, reflecting real-world natural language variations. This diversity improves the performance of recognition technology and learning algorithms when applied to different types of French speech scenarios.
How was the data collected?
The speech samples were collected via controlled telephone calls in France, recorded with low background noise for clear speech signals. Each file was processed to ensure consistent audio quality, sampling rate (8kHz), and standardized formats (PCM, a-law/u-law).
Can I request a sample of the dataset before purchasing or downloading it?
Yes, you can request a sample of the dataset to test audio quality, transcription accuracy, and metadata coverage. Samples allow developers to confirm the dataset meets their needs for deep learning models and automatic speech recognition systems.
Still have questions about using Unidata datasets? Read our user-guides

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