split_audio_files.py

import os
import librosa
import soundfile as sf

# Define the input directory relative to the current working directory
input_dir = os.path.join(os.getcwd(), 'data', 'genres')  # Assumes the genres folder is inside the data folder

# Define the output directory relative to the current working directory
output_dir = os.path.join(os.getcwd(), 'data_5')  # Replace 'output' with your desired output directory name

# Create the output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)

# Define the segment duration in seconds
segment_duration = 5

# Iterate over the genre folders in the input directory
for genre_folder in os.listdir(input_dir):
    print(f"Genre: {genre_folder} @ {segment_duration} seconds")
    genre_path = os.path.join(input_dir, genre_folder)

    # Create a corresponding genre folder in the output directory
    output_genre_path = os.path.join(output_dir, genre_folder)
    os.makedirs(output_genre_path, exist_ok=True)

    # Iterate over all audio files in the genre folder
    for filename in os.listdir(genre_path):
        file_path = os.path.join(genre_path, filename)

        # Check if the file is in WAV format
        if filename.endswith('.wav'):
            # Load the audio file using Librosa
            audio, sr = librosa.load(file_path)

            # Calculate the total number of segments
            num_segments = len(audio) // (sr * segment_duration)

            # Divide the audio into segments and save them individually
            for i in range(num_segments):
                start_sample = i * sr * segment_duration
                end_sample = start_sample + sr * segment_duration
                segment = audio[start_sample:end_sample]

                # Create a new filename for the segment
                segment_filename = f"{filename[:-4]}_{i+1}.wav"

                # Save the segment to the genre folder in the output directory
                segment_path = os.path.join(output_genre_path, segment_filename)
                sf.write(segment_path, segment, sr)
        else:
            print(f"Skipping {filename} as it is not a WAV file.")
            

# Define the output directory relative to the current working directory
output_dir = os.path.join(os.getcwd(), 'data_10')  # Replace 'output' with your desired output directory name

# Create the output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)

# Define the segment duration in seconds
segment_duration = 10

# Iterate over the genre folders in the input directory
for genre_folder in os.listdir(input_dir):
    print(f"Genre: {genre_folder} @ {segment_duration} seconds")
    genre_path = os.path.join(input_dir, genre_folder)

    # Create a corresponding genre folder in the output directory
    output_genre_path = os.path.join(output_dir, genre_folder)
    os.makedirs(output_genre_path, exist_ok=True)

    # Iterate over all audio files in the genre folder
    for filename in os.listdir(genre_path):
        file_path = os.path.join(genre_path, filename)

        # Check if the file is in WAV format
        if filename.endswith('.wav'):
            # Load the audio file using Librosa
            audio, sr = librosa.load(file_path)

            # Calculate the total number of segments
            num_segments = len(audio) // (sr * segment_duration)

            # Divide the audio into segments and save them individually
            for i in range(num_segments):
                start_sample = i * sr * segment_duration
                end_sample = start_sample + sr * segment_duration
                segment = audio[start_sample:end_sample]

                # Create a new filename for the segment
                segment_filename = f"{filename[:-4]}_{i+1}.wav"

                # Save the segment to the genre folder in the output directory
                segment_path = os.path.join(output_genre_path, segment_filename)
                sf.write(segment_path, segment, sr)
        else:
            print(f"Skipping {filename} as it is not a WAV file.")
            
            
# Define the output directory relative to the current working directory
output_dir = os.path.join(os.getcwd(), 'data_15')  # Replace 'output' with your desired output directory name

# Create the output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)

# Define the segment duration in seconds
segment_duration = 15

# Iterate over the genre folders in the input directory
for genre_folder in os.listdir(input_dir):
    print(f"Genre: {genre_folder} @ {segment_duration} seconds")
    genre_path = os.path.join(input_dir, genre_folder)

    # Create a corresponding genre folder in the output directory
    output_genre_path = os.path.join(output_dir, genre_folder)
    os.makedirs(output_genre_path, exist_ok=True)

    # Iterate over all audio files in the genre folder
    for filename in os.listdir(genre_path):
        file_path = os.path.join(genre_path, filename)

        # Check if the file is in WAV format
        if filename.endswith('.wav'):
            # Load the audio file using Librosa
            audio, sr = librosa.load(file_path)

            # Calculate the total number of segments
            num_segments = len(audio) // (sr * segment_duration)

            # Divide the audio into segments and save them individually
            for i in range(num_segments):
                start_sample = i * sr * segment_duration
                end_sample = start_sample + sr * segment_duration
                segment = audio[start_sample:end_sample]

                # Create a new filename for the segment
                segment_filename = f"{filename[:-4]}_{i+1}.wav"

                # Save the segment to the genre folder in the output directory
                segment_path = os.path.join(output_genre_path, segment_filename)
                sf.write(segment_path, segment, sr)
        else:
            print(f"Skipping {filename} as it is not a WAV file.")