threaded

speak_broadcast.py

@@ -1,10 +1,10 @@
-import argparse, json, sys, time, random, logging, signal
+import argparse, json, sys, time, random, logging, signal, threading
 import utterance.voice
 import utterance.utils
 import utterance.osc
 import examine.metric
 
-UTTERANCE_LEN = 16
+UTTERANCE_LEN = 16				#<--------------- these should be in config
 NUM_METRIC_GEN = 50
 NUM_SAMPLE_VOICES = 3
 broadcast = None
@@ -57,6 +57,24 @@ def broadcast_utterance(v, utterance):
 	broadcast.command('clear')
 	time.sleep(2)
 
+def find_candidates(v, uv_vec, voices, results):
+	logging.info(f"LOOP::finding candidates")
+
+	start = time.time()
+	candidates = random.sample(voices, NUM_SAMPLE_VOICES)
+	for c in candidates:
+		if exit:
+			break
+		if c == v:
+			continue
+		results += utter_n_vectorise_distance(c, NUM_METRIC_GEN, uv_vec)
+
+	results.sort(key=lambda t: t[0], reverse=True)
+
+	lapse = time.time() - start
+	logging.info(f"LOOP::done - {lapse} secs")
+
+
 
 def signal_terminate(signum, frame):
 	global exit
@@ -117,23 +135,14 @@ def main() -> int:
 	
 	while not exit:
 
+		results = []
+		t = threading.Thread(target=find_candidates, args=[v, uv_vec, voices, results])
+		t.start()
+
 		logging.info(f"LOOP::broadcasting {v.name}")
 		broadcast_utterance(v, uv)
 		
-		logging.info(f"LOOP::finding candidates")
+		t.join()
-		start = time.time()
-		candidates = random.sample(voices, NUM_SAMPLE_VOICES)
-		results = []
-		for c in candidates:
-			if exit:
-				break
-			if c == v:
-				continue
-			results += utter_n_vectorise_distance(c, NUM_METRIC_GEN, uv_vec)
-
-		results.sort(key=lambda t: t[0], reverse=True)
-		lapse = time.time() - start
-		logging.info(f"LOOP::done - {lapse} secs")
 
 		# ok here we need to randomise maybe...?!
 		# ([d, t, v])