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from pathlib import Path |
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import librosa |
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import csv |
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import json |
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import numpy as np |
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import music21 as m21 |
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CSV_FILENAME = "./Edit_Data.csv" |
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SR = 44100 |
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CROSS_FADE_SAMPLES = int(SR / 10) |
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def load_data(): |
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csv_path = Path(__file__).parent / Path(CSV_FILENAME) |
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with open(csv_path) as csv_file: |
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csv_reader = csv.DictReader(csv_file, delimiter=',') |
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return list(csv_reader) |
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def load_syncpoints(score): |
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json_path = Path(__file__).parent / Path("../syncpoints/") / score.with_suffix(".json").name |
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return json.loads(json_path.read_text()) |
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def get_nearest_measure(syncpoints, sample): |
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for measure_no, time_s in syncpoints: |
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if np.isclose(sample / SR, time_s, atol=0.6): |
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return measure_no |
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return None |
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def remove_measure_ranges(score, ranges): |
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for part in score.parts: |
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measures_to_remove = [] |
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for measure in part.getElementsByClass(m21.stream.Measure): |
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if any(start <= measure.number <= end for start, end in ranges): |
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measures_to_remove.append(measure) |
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for measure in measures_to_remove: |
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part.remove(measure) |
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return score |
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musicxml_files = sorted((Path(__file__).parent / Path("../musicxml/")).glob("*.xml")) |
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for row in load_data(): |
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edits = [] |
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score = musicxml_files[int(row['Track ID']) - 1] |
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num_edits = int(row['Num Edits']) |
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adjust_samples = int(row['Adjust Samples']) |
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for n in range(num_edits): |
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edit_idx = str(n + 1) |
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edit_ref = int(row['Edit ' + edit_idx + ' Ref']) |
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edit_start = int(row['Edit ' + edit_idx + ' Start']) |
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edit_dur = int(row['Edit ' + edit_idx + ' Duration']) |
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source_start = edit_start - edit_ref - adjust_samples |
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source_end = source_start + edit_dur |
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edits.append([source_start, source_end, edit_start, (edit_start+edit_dur), row['Track ID']]) |
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if len(edits) > 1: |
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seen_sections = [] |
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repeated_measures = [] |
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syncpoints = load_syncpoints(score) |
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for edit in edits: |
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source_section_times = (edit[0], edit[1]) |
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if source_section_times in seen_sections: |
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target_section_times = (edit[2], edit[3]) |
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measure_from = get_nearest_measure(syncpoints, edit[2]) |
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measure_to = get_nearest_measure(syncpoints, edit[3]) |
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print(f"{score.name} {measure_from} to {measure_to} ({(edit[3] - edit[2]) / SR / 60:.2f} minutes)") |
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repeated_measures.append((measure_from, measure_to)) |
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seen_sections.append(source_section_times) |
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m21_score = m21.converter.parse(score) |
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remove_measure_ranges(m21_score, repeated_measures) |
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else: |
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m21_score = m21.converter.parse(score) |
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new_folder = Path(__file__).parent / Path("../musicxml_no_repeats/") |
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new_folder.mkdir(parents=True, exist_ok=True) |
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new_score_path = new_folder / Path(f"{row['Track ID']}.xml") |
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m21_score.write('musicxml', fp=new_score_path) |
