| --- |
| license: cc-by-nc-sa-4.0 |
|
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| language: |
| - kha |
|
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| task_categories: |
| - automatic-speech-recognition |
|
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| annotations_creators: |
| - other |
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| language_creators: |
| - expert-generated |
|
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| multilinguality: |
| - monolingual |
|
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| source_datasets: |
| - original |
|
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| pretty_name: Khasi ASR Dataset |
|
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| size_categories: |
| - 10K<n<100K |
|
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| tags: |
| - khasi |
| - speech |
| - asr |
| - low-resource-language |
| - indigenous-language |
| --- |
| |
| # Khasi ASR Dataset |
|
|
| The **Khasi ASR Dataset** is a large-scale speech recognition dataset for the Khasi language, an Indigenous language spoken primarily in Meghalaya, India. The dataset contains paired audio recordings and transcriptions designed for training and evaluating Automatic Speech Recognition (ASR) systems. |
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| This dataset consists of **73,900 audio-transcription pairs** with a total duration of approximately **101 hours, 19 minutes, and 54.36 seconds** of speech data. |
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| The dataset contains a mixture of **real human speech** recordings and **synthetic speech** generated using [Khasi-OmniVoice-TTS-2](https://huggingface.co/toiar/Khasi-OmniVoice-TTS-2). Additionally, a portion of the dataset contains **Khasi-English code-switched speech**, reflecting natural language usage commonly found in everyday conversations, education, media, and digital communication. |
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| The dataset aims to support research and development of speech technologies for Khasi, including: |
|
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| * Automatic Speech Recognition (ASR) |
| * Speech-to-Text Systems |
| * Language Modeling |
| * Speech Understanding |
| * Low-Resource Language Research |
| * Indigenous Language Preservation |
|
|
| ## Dataset Details |
|
|
|
|
| | Metric | Value | |
| | ---------------------- | ---------------------------- | |
| | Total Samples | 73,900 | |
| | Total Audio Duration | 101h 19m 54.36s | |
| | Language | Khasi (kha) | |
| | Task | Automatic Speech Recognition | |
| | Format | Audio + Text | |
| | Audio Types | Real + Synthetic | |
| | Synthetic Speech Model | Khasi-OmniVoice-TTS-2 | |
| | Code-Switching | Khasi-English | |
|
|
| ### Data Structure |
|
|
| Each record contains: |
|
|
| ```python |
| { |
| "audio": <audio_file>, |
| "text": "Khasi transcription" |
| } |
| ``` |
|
|
| ### Features |
|
|
| | Feature | Type | Description | |
| | ------- | ------ | ------------------------------------ | |
| | audio | Audio | Speech recording (real or synthetic) | |
| | text | String | Corresponding Khasi transcription | |
|
|
| ## Language |
|
|
| The dataset contains speech and text in **Khasi**, a member of the Austroasiatic language family spoken in Meghalaya, India. Some samples include **Khasi-English code-switching**, reflecting contemporary language usage among Khasi speakers. |
|
|
| ## Intended Uses |
|
|
| This dataset is suitable for: |
|
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| * Training ASR models for Khasi |
| * Fine-tuning multilingual speech models |
| * Benchmarking low-resource ASR systems |
| * Speech technology research |
| * Academic research on Indigenous languages |
| * Language preservation initiatives |
|
|
| Supported model families include: |
|
|
| * Whisper |
| * NVIDIA NeMo ASR |
| * Wav2Vec 2.0 |
| * MMS (Massively Multilingual Speech) |
| * SeamlessM4T |
| * Other speech foundation models |
|
|
| ## Data Collection |
|
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| The dataset was curated from a combination of: |
|
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| 1. Real Khasi speech recordings paired with transcriptions. |
| 2. Synthetic speech generated using **Khasi-OmniVoice-TTS-2** from Khasi text corpora. |
|
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| The inclusion of synthetic speech was intended to increase vocabulary coverage, improve data diversity, and expand training resources for low-resource ASR development. |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite: |
|
|
| ```bibtex |
| @dataset{toiar_khasi_asr_dataset, |
| author = {Toiarbor Mawlieg}, |
| title = {Khasi ASR Dataset}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/toiar/Khasi_ASR_Dataset} |
| } |
| ``` |
|
|
