Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/433063
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-12-28T12:03:18Z | - |
dc.date.available | 2022-12-28T12:03:18Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/433063 | - |
dc.description.abstract | Available newline | |
dc.format.extent | viii, 141p. | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Building Robust Acoustic Models for an Automatic Speech Recognition System | |
dc.title.alternative | ||
dc.creator.researcher | Dutta, Anirban | |
dc.subject.keyword | Acoustic Models | |
dc.subject.keyword | Automatic Speech Recognition System | |
dc.description.note | ||
dc.contributor.guide | Rao, Ch. V. Rama | |
dc.publisher.place | Shillong | |
dc.publisher.university | National Institute of Technology (NIT) Meghalaya | |
dc.publisher.institution | ELECTRONICS and COMMUNICATION ENGINEERING | |
dc.date.registered | 2016 | |
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | ELECTRONICS & COMMUNICATION ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 96.62 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 546.2 kB | Adobe PDF | View/Open | |
03_content.pdf | 50.48 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 48.32 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 70.75 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 113.47 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 545.07 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 873.42 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 9.02 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 1.85 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 56.39 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 159.06 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 160.63 kB | Adobe PDF | View/Open |
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