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snowboydecoder.py

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+#!/usr/bin/env python
+
+import collections
+import pyaudio
+import snowboydetect
+import time
+import wave
+import os
+import logging
+
+logging.basicConfig()
+logger = logging.getLogger("snowboy")
+logger.setLevel(logging.INFO)
+TOP_DIR = os.path.dirname(os.path.abspath(__file__))
+
+RESOURCE_FILE = os.path.join(TOP_DIR, "resources/common.res")
+DETECT_DING = os.path.join(TOP_DIR, "resources/ding.wav")
+DETECT_DONG = os.path.join(TOP_DIR, "resources/dong.wav")
+
+
+class RingBuffer(object):
+    """Ring buffer to hold audio from PortAudio"""
+    def __init__(self, size = 4096):
+        self._buf = collections.deque(maxlen=size)
+
+    def extend(self, data):
+        """Adds data to the end of buffer"""
+        self._buf.extend(data)
+
+    def get(self):
+        """Retrieves data from the beginning of buffer and clears it"""
+        tmp = ''.join(self._buf)
+        self._buf.clear()
+        return tmp
+
+
+def play_audio_file(fname=DETECT_DING):
+    """Simple callback function to play a wave file. By default it plays
+    a Ding sound.
+
+    :param str fname: wave file name
+    :return: None
+    """
+    ding_wav = wave.open(fname, 'rb')
+    ding_data = ding_wav.readframes(ding_wav.getnframes())
+    audio = pyaudio.PyAudio()
+    stream_out = audio.open(
+        format=audio.get_format_from_width(ding_wav.getsampwidth()),
+        channels=ding_wav.getnchannels(),
+        rate=ding_wav.getframerate(), input=False, output=True)
+    stream_out.start_stream()
+    stream_out.write(ding_data)
+    time.sleep(0.2)
+    stream_out.stop_stream()
+    stream_out.close()
+    audio.terminate()
+
+
+class HotwordDetector(object):
+    """
+    Snowboy decoder to detect whether a keyword specified by `decoder_model`
+    exists in a microphone input stream.
+
+    :param decoder_model: decoder model file path, a string or a list of strings
+    :param resource: resource file path.
+    :param sensitivity: decoder sensitivity, a float of a list of floats.
+                              The bigger the value, the more senstive the
+                              decoder. If an empty list is provided, then the
+                              default sensitivity in the model will be used.
+    :param audio_gain: multiply input volume by this factor.
+    """
+    def __init__(self, decoder_model,
+                 resource=RESOURCE_FILE,
+                 sensitivity=[],
+                 audio_gain=1):
+
+        def audio_callback(in_data, frame_count, time_info, status):
+            self.ring_buffer.extend(in_data)
+            play_data = chr(0) * len(in_data)
+            return play_data, pyaudio.paContinue
+
+        tm = type(decoder_model)
+        ts = type(sensitivity)
+        if tm is not list:
+            decoder_model = [decoder_model]
+        if ts is not list:
+            sensitivity = [sensitivity]
+        model_str = ",".join(decoder_model)
+
+        self.detector = snowboydetect.SnowboyDetect(
+            resource_filename=resource, model_str=model_str)
+        self.detector.SetAudioGain(audio_gain)
+        self.num_hotwords = self.detector.NumHotwords()
+
+        if len(decoder_model) > 1 and len(sensitivity) == 1:
+            sensitivity = sensitivity*self.num_hotwords
+        if len(sensitivity) != 0:
+            assert self.num_hotwords == len(sensitivity), \
+                "number of hotwords in decoder_model (%d) and sensitivity " \
+                "(%d) does not match" % (self.num_hotwords, len(sensitivity))
+        sensitivity_str = ",".join([str(t) for t in sensitivity])
+        if len(sensitivity) != 0:
+            self.detector.SetSensitivity(sensitivity_str);
+
+        self.ring_buffer = RingBuffer(
+            self.detector.NumChannels() * self.detector.SampleRate() * 5)
+        self.audio = pyaudio.PyAudio()
+        self.stream_in = self.audio.open(
+            input=True, output=False,
+            format=self.audio.get_format_from_width(
+                self.detector.BitsPerSample() / 8),
+            channels=self.detector.NumChannels(),
+            rate=self.detector.SampleRate(),
+            frames_per_buffer=2048,
+            stream_callback=audio_callback)
+
+
+    def start(self, detected_callback=play_audio_file,
+              interrupt_check=lambda: False,
+              sleep_time=0.03):
+        """
+        Start the voice detector. For every `sleep_time` second it checks the
+        audio buffer for triggering keywords. If detected, then call
+        corresponding function in `detected_callback`, which can be a single
+        function (single model) or a list of callback functions (multiple
+        models). Every loop it also calls `interrupt_check` -- if it returns
+        True, then breaks from the loop and return.
+
+        :param detected_callback: a function or list of functions. The number of
+                                  items must match the number of models in
+                                  `decoder_model`.
+        :param interrupt_check: a function that returns True if the main loop
+                                needs to stop.
+        :param float sleep_time: how much time in second every loop waits.
+        :return: None
+        """
+        if interrupt_check():
+            logger.debug("detect voice return")
+            return
+
+        tc = type(detected_callback)
+        if tc is not list:
+            detected_callback = [detected_callback]
+        if len(detected_callback) == 1 and self.num_hotwords > 1:
+            detected_callback *= self.num_hotwords
+
+        assert self.num_hotwords == len(detected_callback), \
+            "Error: hotwords in your models (%d) do not match the number of " \
+            "callbacks (%d)" % (self.num_hotwords, len(detected_callback))
+
+        logger.debug("detecting...")
+
+        while True:
+            if interrupt_check():
+                logger.debug("detect voice break")
+                break
+            data = self.ring_buffer.get()
+            if len(data) == 0:
+                time.sleep(sleep_time)
+                continue
+
+            ans = self.detector.RunDetection(data)
+            if ans == -1:
+                logger.warning("Error initializing streams or reading audio data")
+            elif ans == -2:
+                logger.debug("Silence")
+            elif ans > 0:
+                message = "Keyword " + str(ans) + " detected at time: "
+                message += time.strftime("%Y-%m-%d %H:%M:%S",
+                                         time.localtime(time.time()))
+                logger.info(message)
+                callback = detected_callback[ans-1]
+                if callback is not None:
+                    callback()
+
+        logger.debug("finished.")
+
+    def terminate(self):
+        """
+        Terminate audio stream. Users cannot call start() again to detect.
+        :return: None
+        """
+        self.stream_in.stop_stream()
+        self.stream_in.close()
+        self.audio.terminate()