I am giving up on MTAFE

mtafe_lab/test_mtafe.py

@@ -5,17 +5,18 @@ import mtafe
 from dataset import random_audio_chunk
 
 logging.info("Generating random audio path list")
-rdpl = random_audio_chunk(2)
+rdpl = random_audio_chunk(256)
 
 logging.info("Initializing MTAFE")
-mtafe.initialize_parameters(
-        paudio_paths=rdpl,
-        pmax_audio_in_queue=4,
-        paudio_feeder_threads=2,
-        pfeature_extractor_threads=1,
-        pdesired_sr=32000,
-        pforce_mono=False,
-        pchunk_length=15,
-        pchunk_overlap=2
+m = mtafe.mtafe(
+    paudio_paths=rdpl,
+    pmax_audio_in_queue=8,
+    paudio_feeder_threads=8,
+    pfeature_extractor_threads=2,
+    pdesired_sr=32000,
+    pforce_mono=False,
+    pchunk_length=15,
+    pchunk_overlap=2
 )
-mtafe.test_feeder()
+#m.test_audio_feeder_worker()
+m.extract()