preprocess/Deep/preprocess.py

# Variables for input and output paths to make it easier for users to modify
input_path = "path_to_input_file_or_folder"  # Set the path for the input files or folder // Example 'audio-understanding\speechs\speechs\test'
output_cleaned_path = (
    "cleaned"  # Output path for cleaned audio after speech enhancement
)
output_enhanced_path = (
    "enhance"  # Output path for enhanced audio after speech super-resolution
)

# First, perform speech enhancement as speech_super_resolution requires clean speech input
from clearvoice import ClearVoice

myClearVoice = ClearVoice(task="speech_enhancement", model_names=["MossFormer2_SE_48K"])

# Apply speech enhancement
myClearVoice(input_path=input_path, online_write=True, output_path=output_cleaned_path)

# After speech enhancement, apply speech super-resolution
myClearVoice = ClearVoice(
    task="speech_super_resolution", model_names=["MossFormer2_SR_48K"]
)

# Apply speech super-resolution
myClearVoice(
    input_path=output_cleaned_path, online_write=True, output_path=output_enhanced_path
)

# Output files will be saved in the following directories:
# - Cleaned audio: 'cleaned' folder
# - Enhanced audio: 'enhance' folder