sainyaranakshethram2.0's Introduction
#Submission for ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING #Features: 1. Transcribes audio files to text after removing any noise present in the recording. 2. Supported formats .wav, .mp3, .flak. 3. Uses the facebook research denoiser to clean the audio file. [https://github.com/facebookresearch/denoiser] 4. Uses the "pydub" python library to transcribe the cleaned audio to text. [https://github.com/jiaaro/pydub] #Dependencies: 1. Linux debian based environoment preferably Ubuntu with Python version 3.10 minimum 2. speech recognition library: [https://pypi.org/project/SpeechRecognition/] $pip install SpeechRecognition 3. pydub library: [https://pypi.org/project/pydub/] $pip install pydub 4. facebook denoiser: [https://github.com/facebookresearch/denoiser] $pip install denoiser 5. ffmpeg and ffplay or libav and avplay $sudo apt-get install ffmpeg libavcodec-extra #Running the Program: The path+name of the audio file to be transcibed must be given as an argument while running the program, Format: $python SuchirPunuru_SainyaRanakshetram2_AI.py path/filename.wav Example: $python SuchirPunuru_SainyaRanakshetram2_AI.py data/221001_2111.mp3
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