added ser

Author: x4nth055

machine-learning/speech-emotion-recognition/__pycache__/utils.cpython-36.pyc

@@ -0,0 +1,74 @@
+
+
+"""
+A utility script used for converting audio samples to be 
+suitable for feature extraction
+"""
+
+import os
+
+def convert_audio(audio_path, target_path, remove=False):
+    """This function sets the audio `audio_path` to:
+        - 16000Hz Sampling rate
+        - one audio channel ( mono )
+            Params:
+                audio_path (str): the path of audio wav file you want to convert
+                target_path (str): target path to save your new converted wav file
+                remove (bool): whether to remove the old file after converting
+        Note that this function requires ffmpeg installed in your system."""
+
+    os.system(f"ffmpeg -i {audio_path} -ac 1 -ar 16000 {target_path}")
+    # os.system(f"ffmpeg -i {audio_path} -ac 1 {target_path}")
+    if remove:
+        os.remove(audio_path)
+
+
+def convert_audios(path, target_path, remove=False):
+    """Converts a path of wav files to:
+        - 16000Hz Sampling rate
+        - one audio channel ( mono )
+        and then put them into a new folder called `target_path`
+            Params:
+                audio_path (str): the path of audio wav file you want to convert
+                target_path (str): target path to save your new converted wav file
+                remove (bool): whether to remove the old file after converting
+        Note that this function requires ffmpeg installed in your system."""
+
+    for dirpath, dirnames, filenames in os.walk(path):
+        for dirname in dirnames:
+            dirname = os.path.join(dirpath, dirname)
+            target_dir = dirname.replace(path, target_path)
+            if not os.path.isdir(target_dir):
+                os.mkdir(target_dir)
+
+    for dirpath, _, filenames in os.walk(path):
+        for filename in filenames:
+            file = os.path.join(dirpath, filename)
+            if file.endswith(".wav"):
+                # it is a wav file
+                target_file = file.replace(path, target_path)
+                convert_audio(file, target_file, remove=remove)
+
+
+if __name__ == "__main__":
+    import argparse
+    parser = argparse.ArgumentParser(description="""Convert ( compress ) wav files to 16MHz and mono audio channel ( 1 channel )
+                                                    This utility helps for compressing wav files for training and testing""")
+    parser.add_argument("audio_path", help="Folder that contains wav files you want to convert")
+    parser.add_argument("target_path", help="Folder to save new wav files")
+    parser.add_argument("-r", "--remove", type=bool, help="Whether to remove the old wav file after converting", default=False)
+
+    args = parser.parse_args()
+    audio_path = args.audio_path
+    target_path = args.target_path
+
+    if os.path.isdir(audio_path):
+        if not os.path.isdir(target_path):
+            os.makedirs(target_path)
+            convert_audios(audio_path, target_path, remove=args.remove)
+    elif os.path.isfile(audio_path) and audio_path.endswith(".wav"):
+        if not target_path.endswith(".wav"):
+            target_path += ".wav"
+        convert_audio(audio_path, target_path, remove=args.remove)
+    else:
+        raise TypeError("The audio_path file you specified isn't appropriate for this operation")