Delete loading script auxiliary file

get_sdm_audio.py

@@ -1,43 +0,0 @@
-#!/usr/bin/env python3
-import os
-import torchaudio
-import tqdm
-
-SAMPLE_RATE = 16_000
-
-path = "/home/patrick/kaldi/egs/ami/s5/mdm_downloaded/{folder}/audio/{folder}.Array1-01.wav"
-new_path = "/home/patrick/ami/audio/sdm"
-for split in ["train", "dev", "eval"]:
-    new_split_path = os.path.join(new_path, split)
-    audio_chunks_path = os.path.join("/home/patrick/ami/annotations/", split, "segments")
-
-    files = {}
-    with open(audio_chunks_path, "r") as f:
-        lines = f.readlines()
-        for line in lines:
-            file_name, folder, start_time, end_time = line.strip().split()
-
-            folder = folder.split("_")[1]
-            os.system(f"mkdir -p {os.path.join(new_split_path, folder)}")
-
-            if folder not in files:
-                files[folder] = []
-
-            files[folder].append((file_name, start_time, end_time))
-
-        for folder, audios in tqdm.tqdm(files.items()):
-            orig_file = path.format(folder=folder)
-            try:
-                waveform, sr = torchaudio.load(orig_file)
-            except:
-                print(f"File {orig_file} does not exist!")
-                continue
-
-#            for file_name, start_time, end_time in audios:
-#                chunk = waveform[:, int(SAMPLE_RATE * float(start_time)): int(SAMPLE_RATE * float(end_time))]
-#                out_path = f"{split}_{file_name.lower().replace('h00', 'sdm')}.wav"
-#                out_path = os.path.join(new_split_path, folder, out_path)
-#                torchaudio.save(out_path, chunk, sr)
-
-            abs_folder = os.path.join(new_split_path, folder)
-            os.system(f"cd {new_split_path} && tar -czf {folder}.tar.gz {folder}")