#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import librosa from collections import Counter from tqdm import tqdm import sys def is_leaf_dir(path): """判断是否为最原子的子文件夹(无子文件夹)""" for item in os.listdir(path): if os.path.isdir(os.path.join(path, item)): return False return True def get_wav_length(path): try: y, sr = librosa.load(path, sr=None, mono=True) return round(len(y) / sr) except Exception as e: print(f"读取失败: {path} 错误: {e}") return None def main(noise_root): noise_root = os.path.abspath(noise_root) print("扫描所有 leaf(最原子)子文件夹...\n") leaf_dirs = [] # 遍历 noise 根目录下所有文件夹 for dataset in os.listdir(noise_root): # MUSAN、DEMAND、ESC50 … dataset_path = os.path.join(noise_root, dataset) if not os.path.isdir(dataset_path): continue # 深度遍历,找所有最原子的子文件夹 for root, dirs, files in os.walk(dataset_path): if is_leaf_dir(root): leaf_dirs.append(root) print("发现的 leaf 文件夹:") for d in leaf_dirs: print(" -", d) print("\n开始统计...\n") all_results = {} for leaf in leaf_dirs: counter = Counter() wav_count = 0 # 遍历该 leaf 下的所有 wav for f in tqdm(os.listdir(leaf), desc=f"[{leaf}]"): if not f.lower().endswith(".wav"): continue wav_count += 1 path = os.path.join(leaf, f) L = get_wav_length(path) if L is not None: counter[L] += 1 all_results[leaf] = (wav_count, counter) # 打印结果 print("\n============== 统计结果 ==============\n") for leaf, (cnt, dist) in all_results.items(): print(f"📁 {leaf}") print(f" WAV 数量:{cnt}") print(" 时长分布(秒):") for L in sorted(dist): print(f" {L:2d}s : {dist[L]}") print() print("统计完成!") if __name__ == "__main__": if len(sys.argv) < 2: print("用法: python stats_leaf_folders.py ") print("示例: python stats_leaf_folders.py noise") sys.exit(1) main(sys.argv[1])