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Finished the changes to the recognize module
- Recognizers now use a class structure - Generic code for matching is in BaseRecognizer - Two recognizers are available: - Wave file recognizer - Recording recognizer
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371742a314
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1 changed files with 72 additions and 49 deletions
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@ -10,6 +10,10 @@ import sys
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import time
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import array
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CHUNK = 8192 # 44100 is a multiple of 1225
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FORMAT = pyaudio.paInt16
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CHANNELS = 2
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RATE = 44100
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class BaseRecognizer(object):
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@ -17,19 +21,25 @@ class BaseRecognizer(object):
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self.dejavu = dejavu
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self.Fs = dejavu.fingerprint.DEFAULT_FS
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def recognize(self, *data):
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def _recognize(self, *data):
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matches = []
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for d in data:
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matches.extend(self.dejavu.find_matches(data, Fs=self.Fs))
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return self.dejavu.align_matches(matches)
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def recognize(self):
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pass # base class does nothing
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class WaveFileRecognizer(BaseRecognizer):
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def __init__(self, dejavu):
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def __init__(self, dejavu, filename=None):
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super(BaseRecognizer, self).__init__(dejavu)
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self.filename = filename
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def recognize_file(self, filepath):
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def recognize_file(self, filename):
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Fs, frames = wavfile.read(filename)
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self.Fs = Fs
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@ -41,7 +51,7 @@ class WaveFileRecognizer(BaseRecognizer):
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channels.append(frames[:, channel])
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t = time.time()
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match = self.recognize(*channels)
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match = self._recognize(*channels)
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t = time.time() - t
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if match:
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@ -49,54 +59,67 @@ class WaveFileRecognizer(BaseRecognizer):
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return match
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def recognize(self):
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return self.recognize_file(self.filename)
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class MicrophoneRecognizer(BaseRecognizer):
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def __init__(self, dejavu, seconds=None)
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super(BaseRecognizer, self).__init__(dejavu)
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self.audio = pyaudio.PyAudio()
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self.stream = None
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self.data = []
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self.channels = CHANNELS
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self.chunk_size = CHUNK
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self.rate = RATE
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self.recorded = False
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def start_recording(self, channels=CHANNELS, rate=RATE, chunk=CHUNK):
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self.chunk_size = chunk
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self.channels = channels
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self.recorded = False
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self.rate = rate
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if self.stream:
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self.stream.stop_stream()
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self.stream.close()
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self.stream = self.audio.open(format=FORMAT,
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channels=channels,
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rate=rate,
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input=True,
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frames_per_buffer=chunk)
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self.data = [[] for i in range(channels)]
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def process_recording(self):
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data = self.stream.read(self.chunk_size)
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nums = np.fromstring(data, np.int16)
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for c in range(self.channels):
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self.data[c].extend(nums[c::c+1])
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def stop_recording(self):
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self.stream.stop_stream()
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self.stream.close()
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self.stream = None
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self.recorded = True
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def recognize_recording(self):
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if not self.recorded:
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raise NoRecordingError("Recording was not complete/begun")
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return self._recognize(*data)
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def get_recorded_time(self):
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return len(self.data[0]) / self.rate
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def recognize(self):
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self.start_recording()
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for i in range(0, int(self.rate / self.chunk * self.seconds)):
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self.process_recording()
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self.stop_recording()
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return self.recognize_recording()
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class NoRecordingError(Exception):
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pass
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class Recognizer(object):
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CHUNK = 8192 # 44100 is a multiple of 1225
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FORMAT = pyaudio.paInt16
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CHANNELS = 2
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RATE = 44100
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def __init__(self, fingerprinter, config):
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self.fingerprinter = fingerprinter
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self.config = config
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self.audio = pyaudio.PyAudio()
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def listen(self, seconds=10, verbose=False):
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# open stream
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stream = self.audio.open(format=Recognizer.FORMAT,
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channels=Recognizer.CHANNELS,
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rate=Recognizer.RATE,
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input=True,
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frames_per_buffer=Recognizer.CHUNK)
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# record
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if verbose: print("* recording")
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left, right = [], []
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for i in range(0, int(Recognizer.RATE / Recognizer.CHUNK * seconds)):
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data = stream.read(Recognizer.CHUNK)
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nums = np.fromstring(data, np.int16)
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left.extend(nums[1::2])
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right.extend(nums[0::2])
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if verbose: print("* done recording")
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# close and stop the stream
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stream.stop_stream()
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stream.close()
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# match both channels
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starttime = time.time()
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matches = []
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matches.extend(self.fingerprinter.match(left))
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matches.extend(self.fingerprinter.match(right))
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# align and return
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return self.fingerprinter.align_matches(matches, starttime, record_seconds=seconds, verbose=verbose)
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