我们从Python开源项目中,提取了以下5个代码示例,用于说明如何使用speech_recognition.WavFile()。
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