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Cite this DOI

10.46243/jst.2021.v6.i03.pp201-208 · TTS-BASED AI-BASED ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE (TEXT TO SPEECH

APA (7th edition)

PAUL, D., KUMAR, B., & PRASAD, K. (2021). TTS-BASED AI-BASED ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE (TEXT TO SPEECH. *Journal of Science & Technology*, *06*(03), 201–208. https://doi.org/10.46243/jst.2021.v6.i03.pp201-208

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{paul2021ttsbased,
  author    = {PAUL, Dr.P.JOHN and KUMAR, B.SIVA and PRASAD, KRUPA},
  title     = {{TTS-BASED AI-BASED ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE (TEXT TO SPEECH}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  volume    = {06},
  number    = {03},
  pages     = {201--208},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i03.pp201-208},
  url       = {https://doi.org/10.46243/jst.2021.v6.i03.pp201-208},
  language  = {en},
  abstract  = {Living alone in today's world is essential for every human being, but it becomes a challenge for those who have vision impairments. A person with a visual impairment is unable to detect or feel the outside environment. These people need certain resources in order to operate autonomously. With advancements in technology such as mobile connection and artificial intelligence, it became easier to maintain them in their daily lives. Our study involves using artificial intelligence, image recognition, and navigation to provide a workaround for individuals with visual disabilities. Our project is carried out by building a PI camera on a Raspberry Pi that guides them using TTS, a GPS module, and the use of a smartphone to traverse the site, as well as a sensor to identify obstructions. It can also analyze images and convert them into words, allowing them to communicate more effectively with the rest of the world.}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - TTS-BASED AI-BASED ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE (TEXT TO SPEECH
AU  - PAUL, Dr.P.JOHN
AU  - KUMAR, B.SIVA
AU  - PRASAD, KRUPA
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021///
VL  - 06
IS  - 03
SP  - 201
EP  - 208
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Living alone in today's world is essential for every human being, but it becomes a challenge for those who have vision impairments. A person with a visual impairment is unable to detect or feel the outside environment. These people need certain resources in order to operate autonomously. With advancements in technology such as mobile connection and artificial intelligence, it became easier to maintain them in their daily lives. Our study involves using artificial intelligence, image recognition, and navigation to provide a workaround for individuals with visual disabilities. Our project is carried out by building a PI camera on a Raspberry Pi that guides them using TTS, a GPS module, and the use of a smartphone to traverse the site, as well as a sensor to identify obstructions. It can also analyze images and convert them into words, allowing them to communicate more effectively with the rest of the world.
DO  - 10.46243/jst.2021.v6.i03.pp201-208
UR  - https://doi.org/10.46243/jst.2021.v6.i03.pp201-208
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2021.v6.i03.pp201-208",
    "DOI": "10.46243/jst.2021.v6.i03.pp201-208",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i03.pp201-208",
    "title": "TTS-BASED AI-BASED ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE (TEXT TO SPEECH",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "PAUL",
            "given": "Dr.P.JOHN"
        },
        {
            "family": "KUMAR",
            "given": "B.SIVA"
        },
        {
            "family": "PRASAD",
            "given": "KRUPA"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2021
            ]
        ]
    },
    "volume": "06",
    "issue": "03",
    "page": "201-208",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Living alone in today's world is essential for every human being, but it becomes a challenge for those who have vision impairments. A person with a visual impairment is unable to detect or feel the outside environment. These people need certain resources in order to operate autonomously. With advancements in technology such as mobile connection and artificial intelligence, it became easier to maintain them in their daily lives. Our study involves using artificial intelligence, image recognition, and navigation to provide a workaround for individuals with visual disabilities. Our project is carried out by building a PI camera on a Raspberry Pi that guides them using TTS, a GPS module, and the use of a smartphone to traverse the site, as well as a sensor to identify obstructions. It can also analyze images and convert them into words, allowing them to communicate more effectively with the rest of the world.",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i03.pp201-208 gives all four in one JSON answer.

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