from google.cloud import speech_v1p1beta1 as speech 1. 为Speech-to-Text API 创建客户端:Create a client for the Speech-to-Text API: client = speech.SpeechClient() 1. 指定音频源和编码: audio = speech.RecognitionAudio(uri="gs://path/to/audio/file.wav") config = speech.RecognitionConfig...
如果您需要更准确的语音识别或有特定要求,可以使用 Google Cloud Speech-to-Text API。此选项需要设置 Google Cloud 项目并启用 Speech-to-Text API。以下是要遵循的步骤:安装Google Cloud 语音库:pip install google-cloud-speech 导入必要的模块:from google.cloud import speech_v1p1beta1 as speech ...
如果使用Google Cloud Speech-to-Text API,则需要设置Google Cloud项目,获取API密钥,并安装google-cloud-speech库。 使用麦克风捕获音频输入: 可以通过pyaudio库从麦克风捕获音频输入,然后将其传递给语音识别库进行处理。 调用语音识别库的功能,将捕获的音频转换为文字: 对于SpeechRecognition库,可以使用recognize_google...
安装speech_recognition pip install SpeechRecognition 创建会议记录助手脚本 import speech_recognition as sr def listen_and_transcribe(): recognizer = sr.Recognizer() with sr.Microphone() as source: print("会议记录助手已启动,开始说话吧...") audio = recognizer.listen(source) try: text = recognize...
with sr.Microphone() as source: # read the audio data from the default microphone audio_data = r.record(source, duration=5) print("Recognizing...") # convert speech to text text = r.recognize_google(audio_data) print(text)它会从你的麦克风录取到5秒钟，然后尝试将语音...
# convert speech to text text = r.recognize_google(audio_data) print(text) 它会从你的麦克风录取到5秒钟,然后尝试将语音转换为文本! 它与先前的代码非常相似,但是我们在这里使用Microphone()对象从默认麦克风读取音频,然后在record()函数中使用duration参数在5秒后停止读取,然后上传音频数据向Google获取输出文本...
# read the audio data from the default microphone audio_data = r.record(source, duration=5) print(“Recognizing…”) # convert speech to text text = r.recognize_google(audio_data) print(text) 这会从您的麦克风听到 5 秒钟,然后尝试将该语音转换为文本! 它与先前的代码非常相似,但是我们在这里使...
pip install SpeechRecognition pip install pocketsphinx 脚本1 - 延迟的语音转文字: import speech_recognition as sr # obtain audio from the microphone r = sr.Recognizer() with sr.Microphone() as source: print("Please wait. Calibrating microphone...") # listen for 5 seconds and create the ambi...
import speech_recognition as sr 创建Recognizer 类的实例: r = sr.Recognizer() 使用麦克风作为音频源: with sr.Microphone() as source: print("Speak something...") audio = r.listen(source) 将语音转换为文本: try: text = r.recognize_google(audio) ...
pocketsphinx:集成CMU Sphinx和Festival开源项目中的代码,实现语音识别的功能。只能识别数据库中的语音。 audio-common:提供了文本转语音(Text-to-speech TTS)的功能实现完成“机器人说话”的想法。 AIML:人工智能标记语言,Artificial Intelligence Markup Language,是一种创建自然语言软件代理的XML语言。