Authors :
Sakshil Verma; Saksham Thareja; Dr. P. Supraja
Volume/Issue :
Volume 8 - 2023, Issue 4 - April
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3M7RugE
DOI :
https://doi.org/10.5281/zenodo.7912314
Abstract :
Speech is the strongest mode of discourse
through which people express their emotions and ideas
through numerous languages. Speech recognition
authorization has varied applications as it provides
Hassle free procedure which does not require physical
contact as in the case of fingerprint authorization.
Speech summarisation methods use speech from people
as input and produce a condensed form as spoken or
written language. Speech synthesis offers a variety of
applications spanning from computer technology to
medical care, including improving language libraries
and reducing therapeutic paperwork load. Every dialect
has its unique collection of features for speaking. Despite
speaking a comparable language, the speed and dialect
differ from individual to individual. This can make
comprehending the conveyed message difficult for
certain people. Conferences are an important part of
every organisation's operation, regardless of if they took
place via the web or in reality. Meeting translation and
summarization standards, on the contrary hand, are
typically disagreeable demands because they necessitate
time-consuming workers. This project aims to identify
things during meetings like the greatest number of times
a person spoke in a meeting to determine his level of
inputs and summarisation of insights of meetings for all
the employees in the meeting and identifying their
insights through the words spoken by them.
Keywords :
Speech Recognition, Speech Summarization, Speech Pre-Processing, Spacy, Gensim.
Speech is the strongest mode of discourse
through which people express their emotions and ideas
through numerous languages. Speech recognition
authorization has varied applications as it provides
Hassle free procedure which does not require physical
contact as in the case of fingerprint authorization.
Speech summarisation methods use speech from people
as input and produce a condensed form as spoken or
written language. Speech synthesis offers a variety of
applications spanning from computer technology to
medical care, including improving language libraries
and reducing therapeutic paperwork load. Every dialect
has its unique collection of features for speaking. Despite
speaking a comparable language, the speed and dialect
differ from individual to individual. This can make
comprehending the conveyed message difficult for
certain people. Conferences are an important part of
every organisation's operation, regardless of if they took
place via the web or in reality. Meeting translation and
summarization standards, on the contrary hand, are
typically disagreeable demands because they necessitate
time-consuming workers. This project aims to identify
things during meetings like the greatest number of times
a person spoke in a meeting to determine his level of
inputs and summarisation of insights of meetings for all
the employees in the meeting and identifying their
insights through the words spoken by them.
Keywords :
Speech Recognition, Speech Summarization, Speech Pre-Processing, Spacy, Gensim.
