python类WavFile()的实例源码

def audio_to_text(outname):
    import speech_recognition as sr
    r = sr.Recognizer()
    with sr.WavFile(outname) as source:
        audio = r.record(source)
    try:
        command = r.recognize_google(audio,language='pt_BR')
        if not command.isspace():
            report(now,command.encode('utf-8'))
            log = '%s>>>%s\n' %(now,command.encode('utf-8'))
            report(log)
    except Exception as e:
        print str(e)
    os.remove(outname)

def sound_to_text():
    NEWS = []
    for i in range(int(length / 8)):

        WAV_FILE = path.join(path.dirname(path.realpath(__file__)), 'nlp_' + str(i) + '.wav')

        # use "english.wav" as the audio source
        r = sr.Recognizer()
        with sr.WavFile(WAV_FILE) as source:
            audio = r.record(source)  # read the entire WAV file
        # recognize speech using Google Speech Recognition
        try:
            # for testing purposes, we're just using the default API key
            # to use another API key, use `r.recognize_google(audio, key="GOOGLE_SPEECH_RECOGNITION_API_KEY")`
            # instead of `r.recognize_google(audio)`
            print(i, ". part: ", r.recognize_google(audio,language="tr"))

            NEWS.append(r.recognize_google(audio,language="tr"))

        except sr.UnknownValueError:
            # print("Google Speech Recognition could not understand audio")
            pass
        except sr.RequestError as e:
            # print("Could not request results from Google Speech Recognition service; {0}".format(e))
            pass

    return NEWS

def __init__(self, engine='witai', wavfile='/files/sound.wav'):
        self.directorycurrent = os.path.dirname(os.path.realpath(__file__))
        self.wavfile = self.directorycurrent + wavfile
        print self.wavfile
        self.engine = engine

        self.r = sr.Recognizer()
        with sr.WavFile(self.wavfile) as self.source:
            self.audio = self.r.record(self.source)

def extract(self, filename, **kwargs):
        speech = ''

        # convert to wav, if not already .wav
        base, ext = os.path.splitext(filename)
        if ext != '.wav':
            temp_filename = self.convert_to_wav(filename)
            try:
                speech = self.extract(temp_filename, **kwargs)
            finally:  # make sure temp_file is deleted
                os.remove(temp_filename)
        else:
            r = sr.Recognizer()

            with sr.WavFile(filename) as source:
                audio = r.record(source)

            try:
                speech = r.recognize_google(audio)
            except LookupError:  # audio is not understandable
                speech = ''

            # add a newline, to make output cleaner
            speech += '\n'

        return speech

def extract(self, filename, **kwargs):
        speech = ''

        # convert to wav, if not already .wav
        base, ext = os.path.splitext(filename)
        if ext != '.wav':
            temp_filename = self.convert_to_wav(filename)
            try:
                speech = self.extract(temp_filename, **kwargs)
            finally:  # make sure temp_file is deleted
                os.remove(temp_filename)
        else:
            r = sr.Recognizer()

            with sr.WavFile(filename) as source:
                audio = r.record(source)

            try:
                speech = r.recognize_google(audio)
            except LookupError:  # audio is not understandable
                speech = ''

            # add a newline, to make output cleaner
            speech += '\n'

        return speech