---
language:
- xsm
license: cc-by-4.0
task_categories:
- automatic-speech-recognition
- text-to-speech
task_ids:
- keyword-spotting
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
modalities:
- audio
- text
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  config_name: default
  splits:
  - name: train
    num_bytes: 0
    num_examples: 75990
  download_size: 0
  dataset_size: 0
tags:
- speech
- kasem
- burkina-faso
- ghana
- african-languages
- low-resource
- parallel-corpus
pretty_name: Kasem Speech-Text Parallel Dataset
---

# Kasem Speech-Text Parallel Dataset

## Dataset Description

This dataset contains 75990 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**: 75990 audio files > 1KB (small/corrupted files filtered out)
- **Format**: WAV audio files with corresponding text files
- **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 format
- `text`: Corresponding text transcription from paired text file

### Data Splits

The dataset contains a single training split with 75990 filtered audio-text pairs.

## 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

1. Audio files and corresponding text files were collected from organized folder structure
2. Text content was read from separate `.txt` files with matching filenames
3. Files smaller than 1KB were filtered out to ensure audio quality
4. Empty text files were excluded from the dataset
5. Audio was processed using the [MMS-300M-1130 Forced Aligner](https://huggingface.co/MahmoudAshraf/mms-300m-1130-forced-aligner) tool for alignment and quality assurance

### Annotations

Text annotations are stored in separate text files with matching filenames to the audio files, representing the spoken content in each audio recording.

## 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-speech-text-parallel}}
}
```

### Acknowledgments

- Audio processing and alignment performed using [MMS-300M-1130 Forced Aligner](https://huggingface.co/MahmoudAshraf/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.