ranbirchabungbam/meiteimayek-audio-parallel-corpus

Meitei Mayek Audio Parallel Corpus

This dataset contains Meitei Mayek audio recordings paired with their corresponding text transcriptions. It is designed to be used for Text to speech (TTS) system and other audio-processing tasks.

Dataset Structure

• audio: The audio waveform and metadata (stored in the wavs/ directory).
• transcription: The text transcription of the spoken audio.

Recording Setup and Preprocessing

• Hardware: Rode NT1 Signature microphone and Focusrite Scarlett Solo 3rd Gen audio interface.
• Environment and Software: Recorded on Linux using Ocenaudio. A custom application was used to map the recorded audio segments with the corresponding text.
• Preprocessing: No preprocessing has been done on the audio dataset, other than purposefully trimming the leading and trailing silence edges during the recording process.

Acknowledgements

The text portion of this dataset is sourced from the Bharat Parallel Corpus Collection (BPCC) provided by AI4Bharat.

Citation

If you use this audio dataset in your research or applications, please cite both this dataset and the original BPCC dataset.

Cite this Audio Dataset:

@misc{meiteimayek_audio_parallel_corpus,
  author = {Ranbir Chabungbam, Khundrakpam Johnson Singh, Chingakham Neeta Devi},
  title = {Meitei Mayek Audio Parallel Corpus},
  year = {2026},
  publisher = {Hugging Face},
  journal = {Hugging Face repository},
  howpublished = {\url{https://huggingface.co/datasets/ranbirchabungbam/meiteimayek-audio-parallel-corpus}}
}

(Note: Please update the URL and author fields with your actual Hugging Face details)

Cite the BPCC Dataset (for the text corpus):

@article{gala2023indictrans,
  title={IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages},
  author={Jay Gala and Pranjal A Chitale and A K Raghavan and Varun Gumma and Sumanth Doddapaneni and Aswanth Kumar M and Janki Atul Nawale and Anupama Sujatha and Ratish Puduppully and Vivek Raghavan and Pratyush Kumar and Mitesh M Khapra and Raj Dabre and Anoop Kunchukuttan},
  journal={Transactions on Machine Learning Research},
  issn={2835-8856},
  year={2023},
  url={https://openreview.net/forum?id=vfT4YuzAYA},
  note={}
}