Arun Kumar S-711715104009
Deepak G- 711715104012
Karthik Raja M- 711715104028
Design a system to convert speech to text files from audio and video files to extract keywords or keyphrases.
First, make sure you have all the requirements listed in the "Requirements" section.
The easiest way to install this is using pip install SpeechRecognition.
Otherwise, download the source distribution from PyPI <https://pypi.python.org/pypi/SpeechRecognition/>__, and extract the archive.
In the folder, run python ui.py.
To use all of the functionality of the library, you should have:
- Python 2.7
- speechrecognition 3.8.1
- moviepy 1.0.0
- rake-nltk 1.0.4
- Pyaudio 0.2.9
pip install speechRecognition
To install Speech Recognition python package to convert speech to text
pip install rake-nltk
To install RAKE algorithm for the extraction of the keywords
pip install moviepy
To import Moviepy package used in the conversion of video files to text
pip install tkinter
Python package to install tkinter used in the development of the user interface
Pycharm IDE 3.4
Arunkumar ---> User interface(Tkinter) and Design of the project workflow
Deepak ---> Implementation of speech to text conversion for both audio and video
Karthik Raja --->Implementation of Keyword Extraction using RAKE algorithm
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Module 1:
User interface
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Module 2:
Speech to text conversion
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Module 3:
Keyword Extraction
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Python
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Tkinter
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Development of a simple user interface where the user selects audio or video file to be processed
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Conversion of structured and unstructured audio and video files using google speech recognition api.
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Extraction of keywords from the output file using RAKE(Rapid Automatic Keyword Extraction) algorithm.Main feature of selecting RAKE algorithm is that it is domain independent and can analyse the frequency of the word appreance and its co-occurance with other words in the text.
Extracting knowledge using the obtained keywords. User can search any keywords and the program can deliver all the audio & video corresponding the search query.