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    <titleInfo>
        <title>Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database</title>
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        <namePart type="given">Thiyam</namePart>
        <namePart type="given">Susma</namePart>
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            <title>Proceedings of the 18th International Conference on Natural Language Processing (ICON)</title>
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            <namePart type="given">Sivaji</namePart>
            <namePart type="family">Bandyopadhyay</namePart>
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            <namePart type="given">Sobha</namePart>
            <namePart type="given">Lalitha</namePart>
            <namePart type="family">Devi</namePart>
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            <namePart type="given">Pushpak</namePart>
            <namePart type="family">Bhattacharyya</namePart>
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            <publisher>NLP Association of India (NLPAI)</publisher>
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                <placeTerm type="text">National Institute of Technology Silchar, Silchar, India</placeTerm>
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    <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.</abstract>
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%0 Conference Proceedings
%T Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database
%A Devi, Thiyam Susma
%A Das, Pradip K.
%Y Bandyopadhyay, Sivaji
%Y Devi, Sobha Lalitha
%Y Bhattacharyya, Pushpak
%S Proceedings of the 18th International Conference on Natural Language Processing (ICON)
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C National Institute of Technology Silchar, Silchar, India
%F devi-das-2021-analysis
%X 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.
%U https://aclanthology.org/2021.icon-main.73
%P 601-605

Markdown (Informal)

[Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database](https://aclanthology.org/2021.icon-main.73) (Devi & Das, ICON 2021)

• Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database (Devi & Das, ICON 2021)

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).