Abstract
Manipuri is a low-resource, tonal language spoken predominantly in Manipur, a northeastern state of India. It has two tones - level and falling tones. For an acceptable Automatic Speech Recognition (ASR) system, integration of tonal information from a robust Tone Recognition model is essential. Research work on ASR has been done on Asian, African and Indo-European tonal languages such as Mandarin, Thai, Vietnamese and Chinese but Manipuri is largely unexplored. This paper focuses on the fundamental analysis of the developed hand-crafted tonal contrast dataset, ManiTo. It is observed that the height and slope of the pitch contour can be used to distinguish the two tones of the Manipuri language.- Anthology ID:
- 2021.icon-main.73
- Volume:
- Proceedings of the 18th International Conference on Natural Language Processing (ICON)
- Month:
- December
- Year:
- 2021
- Address:
- National Institute of Technology Silchar, Silchar, India
- Editors:
- Sivaji Bandyopadhyay, Sobha Lalitha Devi, Pushpak Bhattacharyya
- Venue:
- ICON
- SIG:
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 601–605
- Language:
- URL:
- https://aclanthology.org/2021.icon-main.73
- DOI:
- Cite (ACL):
- Thiyam Susma Devi and Pradip K. Das. 2021. Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database. In Proceedings of the 18th International Conference on Natural Language Processing (ICON), pages 601–605, National Institute of Technology Silchar, Silchar, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database (Devi & Das, ICON 2021)
- PDF:
- https://preview.aclanthology.org/corrections-2024-05/2021.icon-main.73.pdf