120 lines
4.5 KiB
Markdown
120 lines
4.5 KiB
Markdown
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# 环境配置详细教程 [B站](https://www.bilibili.com/video/BV1HucueQEJo/)
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0. anaconda\ffmpeg安装
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```
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网上很多教程，自行搜索
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```
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```
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SenseVoiceSmall模型下载：
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自动下载：设置215行 model_dir = "iic/SenseVoiceSmall"
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手动下载：https://www.modelscope.cn/models/iic/SenseVoiceSmall/files
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QWen模型下载：
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自动下载：设置220行 model_name = "Qwen/Qwen2.5-1.5B-Instruct"，开启科学上网，可从huggingface自动下载
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手动下载：https://www.modelscope.cn/models/ 搜索QWen，结果中下载显存可支持模型
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```
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1. 创建虚拟环境
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```
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conda create -n chatAudio python=3.10
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conda activate chatAudio
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```
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2. 安装pytorch+cuda版本，本地测试2.0以上版本均可，这里安装torch=2.3.1+cuda11.8
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```
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pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu118
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其它适合自己电脑的torch+cuda版本可在torch官网查找
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https://pytorch.org/get-started/previous-versions/
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```
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3. 简易版本安装，不使用cosyvoice时依赖项较少
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```
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pip install edge-tts==6.1.17 funasr==1.1.12 ffmpeg==1.4 opencv-python==4.10.0.84 transformers==4.45.2 webrtcvad==2.0.10 qwen-vl-utils==0.0.8 pygame==2.6.1 langid==1.1.6 langdetect==1.0.9 accelerate==0.33.0 PyAudio==0.2.14
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可执行验证：
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python 13_SenceVoice_QWen2.5_edgeTTS_realTime.py
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```
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至此，不调用cosyvoice作为合成的交互可成功调用了。
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4. cosyvoice依赖库
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```
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大家反馈较多pynini、wetext安装方法：
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conda install -c conda-forge pynini=2.1.6
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pip install WeTextProcessing --no-deps
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```
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5. cosyvoice其它依赖项安装（如遇到权限问题导致安装失败，以管理员形式打开终端）
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```
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pip install HyperPyYAML==1.2.2 modelscope==1.15.0 onnxruntime==1.19.2 openai-whisper==20231117 importlib_resources==6.4.5 sounddevice==0.5.1 matcha-tts==0.0.7.0
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可执行验证：
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python 10_SenceVoice_QWen2.5_cosyVoice.py
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```
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# :sparkles: 241130-updata
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## 新增声纹识别功能
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设置固定声纹注册语音存储目录，如目录为空则自动进入声纹注册模式。默认注册语音时长大于3秒，可自定义，一般而言时长越长，声纹效果越稳定。
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声纹模型采用阿里开源的CAM++，其采用3D-Speaker中文数据训练，符合中文对话需求
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## 新增自由定义唤醒词功能
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使用SenceVoice的语音识别能力实现，将语音识别的汉字转为拼音进行匹配。将唤醒词/指令词设置为中文对应拼音，可自由定制。15.0_SenceVoice_kws_CAM++.py中默认为'ni hao xiao qian'，15.1_SenceVoice_kws_CAM++.py中默认为'zhan qi lai'[暗影君王实在太cool辣]
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## 新增对话历史内容记忆功能
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通过建立user、system历史队列实现。开启新一轮对话时，首先获取历史记忆，而后拼接新的输入指令。可自由定义最大历史长度，默认为512。
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对应脚本：
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无历史记忆：15.0_SenceVoice_kws_CAM++.py
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有历史记忆：15.1_SenceVoice_kws_CAM++.py
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[演示demo，B站] (https://www.bilibili.com/video/BV1Q6zpYpEgv)
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Have fun! 😊
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# :sparkles: 241123-updata
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## 更新单模态自由打断语音交互
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使用webrtcvad进行实时vad检测，设置一个检测时间段=0.5s，有效语音激活率=40%，每个检测chunk=20ms。也就是说500ms/20ms=25个检测段，如果25*0.4=10个片段激活，则该0.5秒为有效音，加入缓存。
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可改进点：使用模型VAD，去除噪声干扰
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13_SenceVoice_QWen2.5_edgeTTS_realTime.py
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## 音视频多模态语音交互
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基于以上逻辑，替换QWen2.5-1.5B模型为QWen2-VL-2B，可实现音视频多模态交互。模型具有两种输入格式，图片/视频
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14_SenceVoice_QWen2VL_edgeTTS_realTime.py
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[演示demo，B站] (https://www.bilibili.com/video/BV1uQBCYrEYL)
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# :sparkles: 241027-语音交互大模型/SenceVoice-QWen2.5-TTS
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## 框架
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SenceVoice-QWen2.5-CosyVoice搭建
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此工程主代码来于[CosyVoice] (https://github.com/FunAudioLLM/CosyVoice)
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在CosyVoice基础上添加[SenceVoice] (https://github.com/modelscope/FunASR) 作为语音识别模型
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添加[QWwn2.5] (https://github.com/QwenLM/Qwen2.5) 作为大语言模型进行对话理解
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## 3种语音合成方法
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CoosyVoice推理速度慢，严重影响对话实时性，额外添加pyttsx3和edgeTTS
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EdgeTTS实验过程出现链接错误问题，升级版本至6.1.17解决，无需科学上网
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All dependencies are listed in requirements.txt, the interactive inference scripts are 10/11/12_SenceVoice_QWen2.5_xxx.py.
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Have fun! 😊
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