French (Canada) Scripted Monolouge Speech Dataset for General domain

The audio dataset includes scripted monologue speech data in the general domain, featuring native French speakers from Canada, with detailed metadata and accurate transcriptions.

Category

Scripted Utterance Recordings

Total Volume

5000+ prompts

Last updated

July 2023

Number of participants

50

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About this Off-the-shelf Speech Dataset

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What’s Included

Welcome to the French Language Scripted Monologue Speech Dataset, a comprehensive and diverse collection of single utterance voice data specifically designed to advance the development of French language speech recognition models, with a particular focus on Canadian accents.

With high-quality audio recordings, detailed metadata, and accurate transcriptions, it empowers researchers and developers to enhance natural language processing, conversational AI, and generative voice AI algorithms. Moreover, it facilitates the creation of sophisticated voice assistants and voice bots tailored to the unique linguistic nuances found in the French language spoken in Canada.

Speech Data:

This training dataset consists of 5000+ high-quality scripted single-sentence recordings in the French Language. These sentences contain various elements like person names, organization names, currencies, dates, times, locations, and more, which makes them very useful for developing robust natural language processing algorithms.

This dataset contains the speech voices of 40 native French speakers from Quebec provinces of Canada. This collaborative effort guarantees a balanced representation of Canadian accents and demographics, reducing biases and promoting inclusivity.

The average duration of each audio recording is around 5-30 seconds. The speech data is available in WAV format, with monochannel files having a bit depth of 16 bits and a sample rate of 48 kHz. The recording environment is generally quiet, without background noise and echo.

Metadata:

In addition to the audio recordings, our dataset provides comprehensive metadata for each participant. This metadata includes the participant's age, gender, country, state, and dialect. Furthermore, additional metadata such as recording device details, bit depth, and sample rate will be provided.

The metadata serves as a valuable tool for understanding and characterizing the data, facilitating informed decision-making in the development of French speech recognition models.

Transcription (Text File):

This dataset provides text files containing scripted prompts along with each audio file. The transcription is available in TXT file format with proper renaming corresponding to its audio file.

This text data can further be annotated with named entity recognition (NER) to expedite the deployment of French conversational AI and NLP models.

Updates and Customization:

We understand the importance of collecting data in various environments to build robust ASR models. Therefore, our voice dataset is regularly updated with new audio data captured in diverse real-world conditions.

If you require a custom training dataset with specific environmental conditions such as in-car, busy street, restaurant, or any other scenario or with different speaking speeds like fast, slow or normal, we can accommodate your request. We can provide voice data with customized sample rates ranging from 8 kHz to 48 kHz, allowing you to fine-tune your models for different audio recording setups.

License:

This audio dataset, created by FutureBeeAI, is now available for commercial use.

Conclusion:

Whether you are training or fine-tuning speech recognition models, advancing NLP algorithms, exploring speech AI, or building cutting-edge voice assistants and bots, our dataset serves as a reliable and valuable resource.

Use Cases

Use of scripted speech monologues datasets for Automatic Speech Recognition

ASR

Use of scripted speech monologues datasets for Conversational AI

Conversational AI

Use of scripted speech monologues datasets for Chatbot

Chatbot

Use of scripted speech monologues datasets for Language modelling

Language modelling

Use of scripted speech monologues datasets for TTS

TTS

Use of scripted speech monologues datasets for Speech analytics

Speech Analytics

Dataset Sample(s)

Sample Line

TRANSCRIPTION

SPEAKERDURATIONTRANSCRIPT
Male(20)00:00:05La culture, c'est comme la confiture, moins on en a, plus on l'étale.

Dataset Demographics

Details Headline

Language

French

Language code

fr-CA

Country

Canada

Gender Distribution

M:55, F:45

Age Group

18-70

Audio File Details

Details Headline

Environment

Silent

Bit Depth

16 bit

Sample rate

48khz

Channel

Monologue

Audio file duration

5 to 30 seconds

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