使用Python的wave库可以方便地读取WAV文件的内容。 python import wave def load_wav_file(file_path): with wave.open(file_path, 'rb') as wav_file: params = wav_file.getparams() n_channels, samp_width, frame_rate, n_frames, comp_type, comp_name = params[:6] audio_data = wav_file.rea...
usessaves toAudioFile+load()+play()SpeechRecognizer+recognize()TextFile+save() 结论 通过以上的步骤和代码示例,你应该能够完成一个基本的Python项目,用于识别WAV文件中的语音内容并将其保存为文本。语音识别是一个强大的工具,具有广泛的应用前景。希望你能进一步拓展这方面的知识,尝试其他音频格式,并优化识别过程中...
# 保存到文件withopen("output.txt","w")asf:f.write(text)# 或者直接打印print("识别的文本:")print(text) 1. 2. 3. 4. 5. 6. 7. 类图 以下是使用mermaid语法展示的类图: AudioSegment-recognizer+from_wav(file_path)+get_array_of_samples()Recognizer+audio_data+recognize_google(audio_data, sam...
def batch_transcribe(folder_path): r = sr.Recognizer() files = glob.glob(os.path.join(folder_path, "*.wav")) # 获取文件夹中所有的wav文件 for file in files: with sr.AudioFile(file) as source: audio = r.record(source) # 将音频文件加载到Memory中 try: text = r.recognize_google...
ToTextFileByJson(List<Map<String, Object>> datas, String title, String columns, String file...
一、python speechRecogniton库 python自带的speechRecognition库是一个多功能的实现语音识别的库,细节网上有很多,可以搜到,可以参考 https://blog.csdn.net/alice_tl/article/details/89684369 二、使用说明 安装speechRecognition库 pip install speechrecognition ...
Start Python Environment: In the text-generation-webui folder, start the environment with the appropriate command: Windows: cmd_windows.bat Linux: ./cmd_linux.sh If you're unfamiliar with Python environments and wish to learn more, consider reviewing Understanding Python Environments Simplified in ...
It's recommended to test AllTalk's functionality before installing DeepSpeed. Note: Always activate the Text-generation-webui Python environment before making any adjustments or using Fine-tuning. Additional instructions for Fine-tuning and DeepSpeed can be found within the setup utility and on this ...
io.File;importjava.io.FileInputStream;importjava.io.IOException;publicclassWavToText{publicstaticvoidmain(String[]args)throwsException{StringfileName="path/to/your/audio.wav";Stringtext=convertWavToText(fileName);System.out.println("识别结果: "+text);}publicstaticStringconvertWavToText(Stringfile...
f = wave.open(file_name,"wb") #set wav params f.setnchannels(channels) f.setsampwidth(sampwidth) f.setframerate(framerate) #turn the data to string f.writeframes(wave_data.tobytes()) f.close() def my_button(root,label_text,button_text,button_func): ...