制作一个英语听写软件的代码
时间: 2024-01-26 08:03:37 浏览: 31
以下是一个基于 Python 和 Google Cloud Speech-to-Text API 的简单英语听写软件的代码示例:
```python
import tkinter as tk
import pyaudio
import wave
import io
import os
from google.cloud import speech_v1p1beta1 as speech
from google.cloud.speech_v1p1beta1 import enums
# 设置 Google Cloud 服务账号文件路径
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/path/to/your/credentials.json'
# 初始化 Google Cloud 语音识别客户端
client = speech.SpeechClient()
# 定义录音参数
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "output.wav"
class EnglishDictationApp:
def __init__(self, master):
self.master = master
master.title("English Dictation App")
# 创建录音和听写按钮
self.record_button = tk.Button(master, text="Record", command=self.record)
self.record_button.pack()
self.transcribe_button = tk.Button(master, text="Transcribe", command=self.transcribe, state=tk.DISABLED)
self.transcribe_button.pack()
# 创建输入框和答案框
self.input_text = tk.Text(master, height=5, width=50)
self.input_text.pack()
self.answer_text = tk.Text(master, height=5, width=50, state=tk.DISABLED)
self.answer_text.pack()
def record(self):
# 创建 PyAudio 对象
audio = pyaudio.PyAudio()
# 打开音频流
stream = audio.open(format=FORMAT, channels=CHANNELS,
rate=RATE, input=True,
frames_per_buffer=CHUNK)
print("Recording...")
frames = []
# 录制音频
for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
data = stream.read(CHUNK)
frames.append(data)
print("Recording finished.")
# 停止音频流
stream.stop_stream()
stream.close()
audio.terminate()
# 保存音频文件
wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(audio.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()
# 激活听写按钮
self.transcribe_button.config(state=tk.NORMAL)
def transcribe(self):
# 读取音频文件
with io.open(WAVE_OUTPUT_FILENAME, 'rb') as audio_file:
content = audio_file.read()
# 创建语音识别请求对象
audio = speech.types.RecognitionAudio(content=content)
config = speech.types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=RATE,
language_code='en-US')
# 发送语音识别请求
response = client.recognize(config, audio)
# 获取识别结果
transcripts = [result.alternatives[0].transcript for result in response.results]
# 显示识别结果
self.answer_text.config(state=tk.NORMAL)
self.answer_text.delete(1.0, tk.END)
self.answer_text.insert(tk.END, '\n'.join(transcripts))
self.answer_text.config(state=tk.DISABLED)
# 启动应用
root = tk.Tk()
app = EnglishDictationApp(root)
root.mainloop()
```
这个代码示例使用 PyAudio 库录制音频,使用 Google Cloud Speech-to-Text API 进行语音识别,使用 tkinter 库构建了一个简单的用户界面。当用户点击 "Record" 按钮时,程序会开始录制音频;当用户点击 "Transcribe" 按钮时,程序会使用 Google Cloud Speech-to-Text API 对录制的音频进行语音识别,并将识别结果显示在用户界面上。
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