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audioduration (s) 0.04
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Asetarof |
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Amori |
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tega |
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seeni |
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ta |
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Moses |
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Peo |
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teo |
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Baŋa |
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zem |
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tiina |
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Filisi |
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dedaane |
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Maaka |
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tega |
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Aranon |
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Moaba |
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kam |
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kam |
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bam |
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wo |
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wone |
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to, |
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Reba. |
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de |
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ka |
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wom |
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dedaane |
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Gesura |
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yi |
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kam, |
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na |
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ka |
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wɛ-puli |
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mo |
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maa |
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dwia |
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kam |
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yi |
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de |
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maa |
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kam |
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laŋa |
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Tu |
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kwei |
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te-kampare |
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kam |
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pa |
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ne, |
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seeni |
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Wɛ |
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bam |
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kwei |
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chichworo |
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nyem |
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kwei |
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delo |
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ko |
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Isarele |
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diga |
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ya |
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Kokuri |
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wane |
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sem |
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dem |
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Lebo-Hamafa. |
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tiina |
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dem, |
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na |
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Bɛte-Peora, |
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di |
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tage |
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Ko |
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ko |
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pɔɔre |
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ke |
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zeili |
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tiina |
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ba |
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Abam |
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se |
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ba |
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nyem. |
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kom |
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tega |
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pɔɔre |
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Pɛ |
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ba |
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de |
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de |
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buga |
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Jazera |
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déem |
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ne |
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de |
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tem |
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ka |
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ne |
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Zeref-Sahare. |
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kam |
Kasem Words Speech-Text Parallel Dataset
Dataset Description
This dataset contains 997676 parallel speech-text pairs for Kasem, a language spoken primarily in Ghana. The dataset consists of audio recordings paired with their corresponding text transcriptions, making it suitable for automatic speech recognition (ASR) and text-to-speech (TTS) tasks.
Dataset Summary
- Language: Kasem -
xsm
- Task: Speech Recognition, Text-to-Speech
- Size: 997676 audio files > 1KB (small/corrupted files filtered out)
- Format: WAV audio files with corresponding text labels
- Modalities: Audio + Text
Supported Tasks
- Automatic Speech Recognition (ASR): Train models to convert Kasem speech to text
- Text-to-Speech (TTS): Use parallel data for TTS model development
- Keyword Spotting: Identify specific Kasem words in audio
- Phonetic Analysis: Study Kasem pronunciation patterns
Dataset Structure
Data Fields
audio
: Audio file in WAV formattext
: Corresponding text transcription
Data Splits
The dataset contains a single training split with 997676 filtered audio files.
Dataset Creation
Source Data
The audio data has been sourced ethically from consenting contributors. To protect the privacy of the original authors and speakers, specific source information cannot be shared publicly.
Data Processing
- Audio files were collected and organized by filename structure
- Text labels were extracted from filenames (format:
[number]_[text].wav
) - Files smaller than 1KB were filtered out to ensure audio quality
- Audio was processed using the MMS-300M-1130 Forced Aligner tool for alignment and quality assurance
Annotations
Text annotations are derived from the audio filenames and represent the spoken content in each audio file.
Considerations for Using the Data
Social Impact of Dataset
This dataset contributes to the preservation and digital representation of Kasem, supporting:
- Language technology development for underrepresented languages
- Educational resources for Kasem language learning
- Cultural preservation through digital archives
Discussion of Biases
- The dataset may reflect the pronunciation patterns and dialects of specific regions or speakers
- Audio quality and recording conditions may vary across samples
- The vocabulary is limited to the words present in the collected samples
Other Known Limitations
- Limited vocabulary scope (word-level rather than sentence-level)
- Potential audio quality variations
- Regional dialect representation may be uneven
Additional Information
Licensing Information
This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Citation Information
If you use this dataset in your research, please cite:
@dataset{kasem_words_parallel_2025,
title={Kasem Words Speech-Text Parallel Dataset},
year={2025},
publisher={Hugging Face},
howpublished={\url{https://huggingface.co/datasets/[your-username]/kasem-words-speech-text-parallel}}
}
Acknowledgments
- Audio processing and alignment performed using MMS-300M-1130 Forced Aligner
- Thanks to all contributors who provided audio samples while maintaining privacy protection
Contact
For questions or concerns about this dataset, please open an issue in the dataset repository.
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