diff demos/audio_tokenize_demo.py @ 2:edee860b9f61

First release on Github

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/demos/audio_tokenize_demo.py	Thu Sep 17 22:01:30 2015 +0200
@@ -0,0 +1,50 @@
+"""
+@author: Amine SEHILI <[e-mail]>
+September, 2015
+"""
+
+from auditok import ADSFactory, AudioEnergyValidator, StreamTokenizer, player_for, dataset
+
+# We set the `record` argument to True so that we can rewind the source
+asource = ADSFactory.ads(filename=dataset.one_to_six_arabic_16000_mono_bc_noise, record=True)
+
+validator = AudioEnergyValidator(sample_width=asource.get_sample_width(), energy_threshold=65)
+
+# Defalut analysis window is 10 ms (float(asource.get_block_size()) / asource.get_sampling_rate())
+# min_length=20 : minimum length of a valid audio activity is 20 * 10 == 200 ms
+# max_length=400 :  maximum length of a valid audio activity is 400 * 10 == 4000 ms == 4 seconds
+# max_continuous_silence=30 : maximum length of a tolerated  silence within a valid audio activity is 30 * 30 == 300 ms 
+tokenizer = StreamTokenizer(validator=validator, min_length=20, max_length=400, max_continuous_silence=30)
+
+asource.open()
+tokens = tokenizer.tokenize(asource)
+
+# Play detected regions back
+
+player = player_for(asource)
+
+# Rewind and read the whole signal
+asource.rewind()
+original_signal = []
+
+while True:
+   w = asource.read()
+   if w is None:
+      break
+   original_signal.append(w)
+
+original_signal = ''.join(original_signal)
+
+print("\n ** Playing original file...")
+player.play(original_signal)
+
+print("\n ** playing detected regions...\n")
+for i,t in enumerate(tokens):
+    print("Token [{0}] starts at {1} and ends at {2}".format(i+1, t[1], t[2]))
+    data = ''.join(t[0])
+    player.play(data)
+
+assert len(tokens) == 8
+
+asource.close()
+player.stop()