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--- |
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license: mit |
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task_categories: |
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- automatic-speech-recognition |
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language: |
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- wo |
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tags: |
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- ASR |
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- Wolof |
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- Audio |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Wolof Speech Dataset |
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This repository hosts a collection of Wolof speech datasets. The datasets, sourced from various contributors, are each stored in separate pickle files. Each pickle file contains the following columns: |
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- **audio**: The audio data in WAV or MP3 format. |
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- **transcription**: The corresponding transcriptions of the audio data. |
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- **length**(duration(s)): The duration of each audio recording. |
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- **filename**: The name of the audio file. |
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- **path**: The path to the audio file. |
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## Dataset Overview |
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To ensure well-organized and readable code, we have divided the code into separate files, each dedicated to downloading and cleaning a specific dataset. Below are the datasets included in this collection: |
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### 1. ISMA/ALFFA_WOLOF |
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- **Source**: https://huggingface.co/datasets/Isma/alffa_wolof |
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- **Processing**: A function was created to extract the audio from the column and save it in a WAV file. |
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### 2. SERGE-WILSON/WOLOF_SPEECH_TRANSCRIPTION |
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- **Source**: Mendy, n.d. |
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- **Description**: This dataset contains 14,844 audio rows or speech recordings, totaling 17.75 hours of recordings. The audio column type is 'ByteWAV'. |
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- **Processing**: We implemented a function to convert the audio into WAV format before saving the corresponding files. |
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### 3. PERRYNELSON/WAXAL-WOLOF |
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- **Source**: https://huggingface.co/datasets/perrynelson/waxal-wolof |
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### 4. GOOGLE/FLEURS |
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- **Source**: Conneau et al., 2022 |
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- **Description**: This dataset is a comprehensive collection containing speech-to-text data for hundreds of languages, including low-resource languages like Wolof. It includes 11.2 hours of recordings for the Wolof dataset. |
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## Other Website Sources |
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The following datasets were acquired by downloading a zip file containing folders with audio files and a file (CSV or TXT) housing transcriptions along with the paths to the corresponding audio files: |
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### 1. ALFFA DATASET |
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- **Source**: Gauthier, Besacier, Voisin, Melese, & Elingui, 2016 |
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- **Description**: This dataset comprises various African languages designed for AI projects, aimed at leveraging low-resource African languages for AI applications. It contains 18.97 hours of Wolof recordings. |
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### 2. WAXAL DATASET |
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- **Source**: Waxal-Multilingual, 2022 |
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- **Description**: This dataset provides a CSV file containing transcriptions and the paths to corresponding audio files, along with a link for downloading the audio files. It includes 7.12 hours of recordings. |
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### 3. WOLOF TTS DATASET |
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- **Source**: Diop, Aw, Jaane, & Badiane, 2021 |
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- **Description**: The WOLOF TTS dataset presents a well-organized dataset categorized by gender voice. It is the most extensive dataset identified so far, comprising 45.3 hours of recordings. |
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