comparison demos/audio_trim_demo.py @ 10:9be2d0ca4c00

Python 3.x support
author Amine Sehili <amine.sehili@gmail.com>
date Tue, 24 Nov 2015 01:57:53 +0100
parents 31c97510b16b
children 9741b52f194a
comparison
equal deleted inserted replaced
9:c2ddae4d2c36 10:9be2d0ca4c00
1 """ 1 """
2 @author: Amine SEHILI <amine.sehili@gmail.com> 2 @author: Amine SEHILI <amine.sehili@gmail.com>
3 September, 2015 3 September, 2015
4 """ 4 """
5 5
6 # Trim leading and tailing silence from a record 6 # Trim leading and trailing silence from a record
7 7
8 from auditok import ADSFactory, AudioEnergyValidator, StreamTokenizer, player_for, dataset 8 from auditok import ADSFactory, AudioEnergyValidator, StreamTokenizer, player_for, dataset
9 import pyaudio 9 import pyaudio
10 import sys
10 11
11 """ 12 """
12 The tokenizer in the following example is set up to remove the silence 13 The tokenizer in the following example is set up to remove the silence
13 that precedes the first acoustic activity or follows the last activity 14 that precedes the first acoustic activity or follows the last activity
14 in a record. It preserves whatever it founds between the two activities. 15 in a record. It preserves whatever it founds between the two activities.
15 In other words, it removes the leading and tailing silence. 16 In other words, it removes the leading and trailing silence.
16 17
17 Sampling rate is 44100 sample per second, we'll use an analysis window of 100 ms 18 Sampling rate is 44100 sample per second, we'll use an analysis window of 100 ms
18 (i.e. bloc_ksize == 4410) 19 (i.e. bloc_ksize == 4410)
19 20
20 Energy threshold is 50. 21 Energy threshold is 50.
21 22
22 The tokenizer will start accumulating windows up from the moment it encounters 23 The tokenizer will start accumulating windows up from the moment it encounters
23 the first analysis window of an energy >= 50. ALL the following windows will be 24 the first analysis window of an energy >= 50. ALL the following windows will be
24 kept regardless of their energy. At the end of the analysis, it will drop tailing 25 kept regardless of their energy. At the end of the analysis, it will drop trailing
25 windows with an energy below 50. 26 windows with an energy below 50.
26 27
27 This is an interesting example because the audio file we're analyzing contains a very 28 This is an interesting example because the audio file we're analyzing contains a very
28 brief noise that occurs within the leading silence. We certainly do want our tokenizer 29 brief noise that occurs within the leading silence. We certainly do want our tokenizer
29 to stop at this point and considers whatever it comes after as a useful signal. 30 to stop at this point and considers whatever it comes after as a useful signal.
41 noise contributes more to energy calculation which yields an energy of over 50 for the window. 42 noise contributes more to energy calculation which yields an energy of over 50 for the window.
42 Again we can deal with this situation by using a higher energy threshold (55 for example) 43 Again we can deal with this situation by using a higher energy threshold (55 for example)
43 44
44 """ 45 """
45 46
47 try:
48 # record = True so that we'll be able to rewind the source.
49 asource = ADSFactory.ads(filename=dataset.was_der_mensch_saet_mono_44100_lead_tail_silence,
50 record=True, block_size=4410)
51 asource.open()
46 52
47 # record = True so that we'll be able to rewind the source. 53 original_signal = []
48 asource = ADSFactory.ads(filename=dataset.was_der_mensch_saet_mono_44100_lead_tail_silence, 54 # Read the whole signal
49 record=True, block_size=4410) 55 while True:
50 asource.open() 56 w = asource.read()
57 if w is None:
58 break
59 original_signal.append(w)
51 60
52 original_signal = [] 61 original_signal = b''.join(original_signal)
53 # Read the whole signal
54 while True:
55 w = asource.read()
56 if w is None:
57 break
58 original_signal.append(w)
59
60 original_signal = ''.join(original_signal)
61 62
62 63
63 # rewind source 64 # rewind source
64 asource.rewind() 65 asource.rewind()
65 66
66 # Create a validator with an energy threshold of 50 67 # Create a validator with an energy threshold of 50
67 validator = AudioEnergyValidator(sample_width=asource.get_sample_width(), energy_threshold=50) 68 validator = AudioEnergyValidator(sample_width=asource.get_sample_width(), energy_threshold=50)
68 69
69 # Create a tokenizer with an unlimited token length and continuous silence within a token 70 # Create a tokenizer with an unlimited token length and continuous silence within a token
70 # Note the DROP_TAILING_SILENCE mode that will ensure removing tailing silence 71 # Note the DROP_TRAILING_SILENCE mode that will ensure removing trailing silence
71 trimmer = StreamTokenizer(validator, min_length = 20, max_length=99999999, 72 trimmer = StreamTokenizer(validator, min_length = 20, max_length=99999999,
72 max_continuous_silence=9999999, mode=StreamTokenizer.DROP_TAILING_SILENCE, init_min=3, init_max_silence=1) 73 max_continuous_silence=9999999, mode=StreamTokenizer.DROP_TRAILING_SILENCE, init_min=3, init_max_silence=1)
73 74
74 75
75 tokens = trimmer.tokenize(asource) 76 tokens = trimmer.tokenize(asource)
76 77
77 # Make sure we only have one token 78 # Make sure we only have one token
78 assert len(tokens) == 1, "Should have detected one single token" 79 assert len(tokens) == 1, "Should have detected one single token"
79 80
80 trimmed_signal = ''.join(tokens[0][0]) 81 trimmed_signal = b''.join(tokens[0][0])
81 82
82 player = player_for(asource) 83 player = player_for(asource)
83 84
84 print("\n ** Playing original signal (with leading and tailing silence)...") 85 print("\n ** Playing original signal (with leading and trailing silence)...")
85 player.play(original_signal) 86 player.play(original_signal)
86 print("\n ** Playing trimmed signal...") 87 print("\n ** Playing trimmed signal...")
87 player.play(trimmed_signal) 88 player.play(trimmed_signal)
88 89
89 player.stop() 90 player.stop()
90 asource.close() 91 asource.close()
92
93 except KeyboardInterrupt:
94
95 player.stop()
96 asource.close()
97 sys.exit(0)
98
99 except Exception as e:
100
101 sys.stderr.write(str(e) + "\n")
102 sys.exit(1)