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Datasets:
RobotsMali
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bam-asr-all

Tasks:
Automatic Speech Recognition
Text-to-Speech
Translation
Modalities:
Audio
Text
Formats:
arrow
Sub-tasks:
audio-language-identification
keyword-spotting
Languages:
Bambara
French
Size:
10K - 100K
Tags:
audio
transcription
multilingual
Bambara
French
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Datasets
License:
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Key Changes in Version 1.0.1 (December 17th)

all-bam-asr 1.0.1 introduces several updates and enhancements, focused entirely on the transcription side of the dataset. There have been no changes to the audio files since version 1.0.0. Below are the key updates:

  1. Symbol Removal:
    All non-vocabulary symbols deemed unnecessary for Automatic Speech Recognition (ASR) were removed, including:
    [ ] ( ) « » ° " < >

  2. Punctuation Removal:
    Common punctuation marks were removed to streamline the dataset for ASR use cases. These include:
    : , ; . ? !
    The exception is the hyphen (-), which remains as it is used in both Bambara and French compound words. While this punctuation removal enhances ASR performance, the previous version with full punctuation may still be better suited for other applications. You can still reconstruct the previous version with the archives.

  3. Bambara Normalization:
    The transcription were normalized using the Bambara Normalizer, a python package designed to normalize Bambara text for different NLP applications.

  4. Optimized Data Format:
    This version introduces .arrow files for efficient data storage and retrieval and compatibility with HuggingFace tools.

These changes enhance the dataset's usability for ASR tasks while providing a cleaner transcription format. Let us know if you have feedback or additional use suggestions for the dataset by opening a discussion or a pull request.