Our project aims to develop a system for verifying speech transcriptions by splitting a large audio file into smaller segments, converting each segment into text using the API provided, and presenting it to the user for verification and correction.
- Develop an interface that displays the transcript text and allows the user to play the corresponding audio chunk and make edits to the transcript.
- The user will have the option save or discard the transcription.
- The system will ensure that each audio chunk is reviewed only once and will move on to the next chunk once the user has verified the transcription i.e should not appear again once the application is restarted.
- Overall, our project aims to verify the efficiency of speech transcriptions and make the process more manageable for transcribers through an easy to use interface.
To develop a system to verify speech transcriptions by splitting a large audio file into smaller chunks, transcribing each chunk, and presenting them to the user for verification and correction. Enabling them to either "save" or "discard" the transcriptions and move to the "next" one.
There are 3 main components:
- Audio Splitting
- Speech-to-text conversion
- Transcription verification
- Clone this directory and move to its root using
cd Speech-Transcription-Verification/
- Run
node server.js
to start the server. - Open a new tab in your terminal and run
cd frontend/speech-transcription-app/
- Then run
npm start
to run the app in the development mode. - Open http://localhost:3000 to view it in the browser.
- Built with: Python3, React, Javascript
- Frontend UI built using: Creat-React-App
- Backend server built using: Node.js and Server.js
- Python scripts used for Audio Chunking and Transcripts Generation
- Audio Splitting:
- Pydub
- WebRTC Voice Activity Detector (VAD)
- Speech-to-text conversion:
- Speech-to-text API provided
- Transcription verification:
- Proptypes
- Axios
- LocalStorage API
- Fetch API
This project was bootstrapped with Create React App.
In the project directory cd Speech-Transcription-Verification/frontend/speech-transcription-app/
, you can run:
Runs the app in the development mode. Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits. You will also see any lint errors in the console.
Launches the test runner in the interactive watch mode. See the section about running tests for more information.
Builds the app for production to the build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes. Your app is ready to be deployed!
See the section about deployment for more information.
Note: this is a one-way operation. Once you eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
You can learn more in the Create React App documentation.
To learn React, check out the React documentation.
UG2K20 batch
- Srujana vanka - 2020102005
- Shreeya Singh - 2020102011