Delete demo_with_detailed_comments.py

demo_with_detailed_comments.py

@@ -1,61 +0,0 @@
-from clearvoice import ClearVoice  # Import the ClearVoice class for speech processing tasks
-
-if __name__ == '__main__':
-    ## ----------------- Demo One: Using a Single Model ----------------------
-    if True:  # This block demonstrates how to use a single model for speech enhancement
-        # Initialize ClearVoice for the task of speech enhancement using the MossFormerGAN_SE_16K model
-        myClearVoice = ClearVoice(task='speech_enhancement', model_names=['MossFormerGAN_SE_16K'])
-
-        # 1st calling method: 
-        #   Process an input waveform and return the enhanced output waveform
-        # - input_path: Path to the input noisy audio file (input.wav)
-        # - The returned value is the enhanced output waveform
-        output_wav = myClearVoice(input_path='input.wav')
-        # Write the processed waveform to an output file
-        # - output_wav: The enhanced waveform data
-        # - output_path: Path to save the enhanced audio file (output.wav)
-        myClearVoice.write(output_wav, output_path='output.wav')
-
-        # 2nd calling method: 
-        #   Process and write audio files directly
-        # - input_path: Directory of input noisy audio files
-        # - online_write=True: Enables writing the enhanced audio directly to files during processing
-        # - output_path: Directory where the enhanced audio files will be saved
-        myClearVoice(input_path='path_to_input_wavs', online_write=True, output_path='path_to_output_wavs')
-
-        # 3rd calling method: 
-        #   Use an .scp file to specify input audio paths
-        # - input_path: Path to an .scp file listing multiple audio file paths
-        # - online_write=True: Directly writes the enhanced output during processing
-        # - output_path: Directory to save the enhanced output files
-        myClearVoice(input_path='data/cv_webrtc_test_set_20200521_16k.scp', online_write=True, output_path='path_to_output_waves')
-
-
-    ## ---------------- Demo Two: Using Multiple Models -----------------------
-    if False:  # This block demonstrates using multiple models for speech enhancement
-        # Initialize ClearVoice for the task of speech enhancement using two models: FRCRN_SE_16K and MossFormerGAN_SE_16K
-        myClearVoice = ClearVoice(task='speech_enhancement', model_names=['FRCRN_SE_16K', 'MossFormerGAN_SE_16K'])
-
-        # 1st calling method: 
-        #   Process an input waveform using the multiple models and return the enhanced output waveform
-        # - input_path: Path to the input noisy audio file (input.wav)
-        # - The returned value is the enhanced output waveform after being processed by the models
-        output_wav = myClearVoice(input_path='input.wav')
-        # Write the processed waveform to an output file
-        # - output_wav: The enhanced waveform data
-        # - output_path: Path to save the enhanced audio file (output.wav)
-        myClearVoice.write(output_wav, output_path='output.wav')
-
-        # 2nd calling method: 
-        #   Process and write audio files directly using multiple models
-        # - input_path: Directory of input noisy audio files
-        # - online_write=True: Enables writing the enhanced audio directly to files during processing
-        # - output_path: Directory where the enhanced audio files will be saved
-        myClearVoice(input_path='path_to_input_wavs', online_write=True, output_path='path_to_output_wavs')
-
-        # 3rd calling method: 
-        #   Use an .scp file to specify input audio paths for multiple models
-        # - input_path: Path to an .scp file listing multiple audio file paths
-        # - online_write=True: Directly writes the enhanced output during processing
-        # - output_path: Directory to save the enhanced output files
-        myClearVoice(input_path='data/cv_webrtc_test_set_20200521_16k.scp', online_write=True, output_path='path_to_output_waves')