Analysis and Automatic Detection of Aspirated Fricative and Aspirated Nasals
dc.contributor.author | Rabha, Saswati | |
dc.date.accessioned | 2023-01-25T11:00:35Z | |
dc.date.accessioned | 2023-10-20T07:27:04Z | |
dc.date.available | 2023-01-25T11:00:35Z | |
dc.date.available | 2023-10-20T07:27:04Z | |
dc.date.issued | 2022 | |
dc.description | Supervisors: Prasanna, S R M and Sarmah, Priyankoo | en_US |
dc.description.abstract | Unlike aspiration in stops, aspiration in non-stop consonants is quite rare. Most of the languages that have aspirated non-stop consonants are low-resource languages. Hence, data-driven, quantitative, and statistical analysis of their aspiration phenomena is fairly limited. From the literature review, it has been observed that there is still a need to explore a novel framework that will utilize the advantages of both linguistic and signal- processing knowledge-based approaches for acoustic-phonetic analysis and automatic classi cation of aspirated fricatives and aspirated nasals. To address these issues, we study two phonemes,/s/ and /sh/ in a North-eastern language of India of Tibeto-Burman origin - Rabha, where contrast exists between aspirated and unaspirated counterparts. Also, for the study of aspirated nasals (/m/- /mh/, /n/-/nh/ and /N/-/Nh), we choose the Angami language, another North-eastern language of India of Tibeto-Burman origin. Both languages are low-resourced and are characterized by these unique sounds. | en_US |
dc.identifier.other | ROLL NO.156302013 | |
dc.identifier.uri | https://gyan.iitg.ac.in/handle/123456789/2270 | |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TH-2938; | |
dc.subject | Fricatives | en_US |
dc.subject | Nasals | en_US |
dc.subject | Aspiration | en_US |
dc.subject | Under-resourced Language | en_US |
dc.subject | Speech Recognition | en_US |
dc.subject | Speech Analysis | en_US |
dc.subject | Perception | en_US |
dc.subject | Low-resourced Languages | en_US |
dc.subject | Rabha | en_US |
dc.subject | Angami | en_US |
dc.subject | Korean | en_US |
dc.title | Analysis and Automatic Detection of Aspirated Fricative and Aspirated Nasals | en_US |
dc.type | Thesis | en_US |
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