processing framework

FeatureExtraction/test.py

@@ -1,3 +1,16 @@
-from dataset_files import AudioFeatureExtractor, random_audio_chunk
-afe = AudioFeatureExtractor(random_audio_chunk(32), 16, 32000, False)
-afe.extract()
+import logging
+from audiopreprocessing import triggerlog
+#logger = logging.getLogger(__name__)
+logging.basicConfig(format="%(asctime)s/%(levelname)s: [%(module)s] %(message)s", level=logging.INFO)
+
+from dataset_files import MultiThreadedAudioFeatureExtractor, random_audio_chunk
+mtafe = MultiThreadedAudioFeatureExtractor(
+    audio_paths=random_audio_chunk(200),
+    max_audio_in_queue=8,
+    audio_feeder_threads=8,
+    feature_extractor_threads=1,
+    desired_sr=32000,
+    force_mono=False,
+    chunk_length=15,
+    chunk_overlap=2)
+mtafe.extract()