Reportlab Based Transcription Transformer Article Swipe
P Anjaneyulu
,
Priyanka Dhanasekaran
,
Y. Manaswini
,
G. Sanjana
,
B. Sai Haneesha
,
B. Manideep
,
M Harshitha
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.56155/978-81-975670-5-6-7
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.56155/978-81-975670-5-6-7
In an era where digital communication is paramount, harnessing the power of voice data and converting it into text and structured documents is unprocurable. This system excels at converting Audio files into text and seamlessly transforming text into PDF documents, with the overarching goal of providing a seamless and comprehensive solution for converting spoken words into written text and subsequently crafting polished PDF documents. The core of this lies in implementing advanced speech recognition algorithms to transcribe spoken words accurately. Leveraging machine learning and natural language processing techniques, it achieves high precision in converting audio input into text format. Furthermore, it offers flexibility by accommodating language and accents. Once the speech is accurately transcribed, the system seamlessly integrates with PDF generation capabilities. It assembles the transcribed text into well-structured PDF documents, complete with formatting options. The significance can hold immense potential to revolutionize transcription services, offering a groundbreaking solution that drastically reduces the time and effort required by professionals in various domains. It improves accessibility for differently-abled individuals in healthcare only aids individuals with hearing impairments. and education in Lecture Transcription and Note- Taking. Its user-friendly interface makes it valuable in many contexts.
Related Topics
Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.56155/978-81-975670-5-6-7
- https://www.publications.scrs.in/uploads/final_menuscript/6ac7c6990eaf885795f771fdb7e10166.pdf
- OA Status
- bronze
- References
- 15
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409726492
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409726492Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.56155/978-81-975670-5-6-7Digital Object Identifier
- Title
-
Reportlab Based Transcription TransformerWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
P Anjaneyulu, Priyanka Dhanasekaran, Y. Manaswini, G. Sanjana, B. Sai Haneesha, B. Manideep, M HarshithaList of authors in order
- Landing page
-
https://doi.org/10.56155/978-81-975670-5-6-7Publisher landing page
- PDF URL
-
https://www.publications.scrs.in/uploads/final_menuscript/6ac7c6990eaf885795f771fdb7e10166.pdfDirect link to full text PDF
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-
YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
- OA URL
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https://www.publications.scrs.in/uploads/final_menuscript/6ac7c6990eaf885795f771fdb7e10166.pdfDirect OA link when available
- Concepts
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Transformer, Computer science, Electrical engineering, Engineering, VoltageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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15Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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