| import json | |
| from emotion import get_emotion | |
| from genre import get_genre | |
| from instrument import get_instrument | |
| import os | |
| from pydub import AudioSegment | |
| import tqdm | |
| import glob | |
| EXCERPT_LENGTH = 30 * 1000 # 30 seconds in milliseconds | |
| MIN_LENGTH = 5 * 1000 # 5 seconds in milliseconds | |
| # Save to JSONL format | |
| for split in ["test", "train", "valid"]: | |
| output_file_path = f'MTG-Jamendo_{split}.jsonl' # Replace with the desired output path | |
| emotion = get_emotion(_=split) | |
| genre = get_genre(_=split) | |
| instrument = get_instrument(_=split) | |
| data_samples = emotion + genre + instrument | |
| with open(output_file_path, 'w') as outfile: | |
| for sample in tqdm.tqdm(data_samples): | |
| # json.dump(sample, outfile) | |
| audio_path = f"/home/intern-2024-02/dataset/MTG-Jamendo/MTG/audio-low/{sample['audioid'][:-4]}.low.mp3" | |
| # Check if the audio file exists | |
| if not os.path.exists(audio_path): | |
| print(f"File not found: {audio_path}") | |
| continue | |
| # Load the audio file | |
| # audio = AudioSegment.from_file(audio_path) | |
| tmp = glob.glob(f"/work/fast_data_yinghao/MTG/audio-low/{sample['audioid'][:-4]}.low_*.wav") | |
| # # Process and split the audio into 30-second excerpts | |
| # for i in range(0, len(audio), EXCERPT_LENGTH): | |
| # end = i + EXCERPT_LENGTH | |
| # if end < len(audio): | |
| # excerpt = audio[i:end] | |
| # else: | |
| # excerpt = audio[i:] | |
| # # Discard short audio clips | |
| # if len(excerpt) < MIN_LENGTH: | |
| # break | |
| # end = len(audio) | |
| # # # Save the excerpt to the same directory with a new name | |
| # excerpt_path = f"/work/fast_data_yinghao/MTG/audio-low/{sample['audioid'][:-4]}.low_{i//EXCERPT_LENGTH}.wav" | |
| for excerpt_path in tmp: | |
| # excerpt.export(excerpt_path, format="wav") | |
| # Update the sample dictionary with the new audio path | |
| new_sample = sample.copy() | |
| new_sample["audioid"] = excerpt_path | |
| # Dump the new sample to the JSONL file | |
| json.dump(new_sample, outfile) | |
| outfile.write('\n') | |
| # print(excerpt_path) | |
| # break | |
| # Remove the original audio file | |
| # os.remove(audio_path) | |
| # outfile.write('\n') | |
| outfile.close() | |
| # print(f"Data successfully transformed and saved to {output_file_path}") | |