Python 3.8.10
pip install git+https://github.com/openai/whisper.git
pip install setuptools-rust
choco install ffmpeg
pip install pyspark
pip3 install -r requirements.txt
In the code folder, we have 3 files.
You can start the spark_stream when you want. They will wait to have json files in the files folder.
In another terminal, you must run load_and_split_audio. They will create .wav files in the audio folder.
This audios will be processed by the generate_array.
When you run they, json files with the np.array of the audio files will be created, and feed the stream input.
In the code folder, check if in the generate_array file the dir path is dir_path = r'../input/mp3/'.
It will be necessary that you start the spark_stream_evaluate script.
They will start the spark engine, and will save the transcribed results into output_txt directory.
After that, run the generate_array script, and just wait.
When the process finished on the spark_stream_evaluate, you can run the evaluate script, where the results will be calculated.
The actual results are:
Precision: 0.41
Recall: 0.33
F1-Score: 0.37