kokorotts安装与使用安装python包下载模型简单使用安装python包#安装 Kokoro 主包pipinstallkokoro下载模型#安装modelscope包。通过modelscope下载pipinstallmodelscope#下载模型, local_dir指定下载位置modelscope download--modelAI-ModelScope/Kokoro-82M-v1.1-zh README.md--local_dir./dir简单使用fromkokoroimportKPipeline,KModel# from IPython.display import display, Audioimportsoundfileassf# 参数中config与model修改为本地模型路径modelKModel(config../model/config.json,model../model/kokoro-v1_1-zh.pth)pipelineKPipeline(lang_codezh,modelmodel)text使用kokoro-tts的测试# 下方voice修改为本地对应模型路径generatorpipeline(text,voice../model/voices/zm_yunxi.pt,# change voice herespeed0.85,split_patternr[,.。!?;\n],# noise_scale0.667, # 调整噪声比例# noise_scale_w0.8, # 调整音素持续时间的变化# length_scale1.0 # 调整语音长度)all_audio_segments[]# for i, (gs, ps, audio) in enumerate(generator):# print(i) # i index# print(gs) # gs graphemes/text# print(ps) # ps phonemes# display(Audio(dataaudio, rate24000, autoplayi0))# sf.write(f{i}.wav, audio, 24000)fori,(gs,ps,audio)inenumerate(generator):print(f处理第{i1}段:)print(f文本:{gs})# 打印当前处理的文本print(f音素:{ps})# 打印音素all_audio_segments.append(audio)# 可以选择是否保存单独的片段sf.write(f./output/segment_{i}.wav,audio,24000)# 合并所有音频片段importnumpyasnp combined_audionp.concatenate(all_audio_segments)sf.write(./output/complete_audio.wav,combined_audio,24000)print(所有片段已合并并保存为 complete_audio.wav)