gauthiier/NATURESPEAK-ML-UTTER
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gauthiier 2022-03-13 19:24:02 +01:00
parent eaaf419614
commit 843b99a4f7
1 changed files with 25 additions and 16 deletions
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41
speak_broadcast.py
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@ -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")
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")
t.join()
# ok here we need to randomise maybe...?!
# ([d, t, v])