1、语音合成 coqui/XTTS-v2 (1)下载 coqui/XTTS-v2 模型 (base) ailearn@gpts:~$ mkdir -p /data/sda/deploy/xtts (base) ailearn@gpts:~$ cd /data/sda/deploy/xtts (base) ailearn@gpts:/data/sda/deploy/xtts$ git lfs install ; git clone https://huggingface.co/coqui/XTTS-v2 Git LFS...
XTTS是一个用于高级文本转语音生成的库,号称只需使用 6 秒原始素材就可将语音克隆为不同的语言。最新版V2支持 17 种语言,也不需要大量训练数据,可使用内置的1100+预训练语言模型。 最主要是这个不止在GPU模式下,在 CPU 模式下同样也能运行,所以一般在本地都能够玩起来,只是速度方面会差一些。 经过我试用了下,...
usage: xtts_api_server [-h] [-hs HOST] [-p PORT] [-sf SPEAKER_FOLDER] [-o OUTPUT] [-t TUNNEL_URL] [-ms MODEL_SOURCE] [--listen] [--use-cache] [--lowvram] [--deepspeed] [--streaming-mode] [--stream-play-sync] Run XTTSv2 within a FastAPI application options: -h, --hel...
📣 ⓍTTSv2 is here with 16 languages and better performance across the board. 📣 ⓍTTS fine-tuning code is out. Check theexample recipes. 📣 ⓍTTS can now stream with <200ms latency. 📣 ⓍTTS, our production TTS model that can speak 13 languages, is releasedBlog Post,Demo...
XTTS 是一个语音生成模型,不需要过多的训练数据,仅使用一个 6 秒的音频文件即可将语音克隆为不同的语言。 XTTS-v2 支持 17 种语言: 英语(en)、西班牙语 (es)、法语 (fr)、德语 (de)、意大利语 (it)、葡萄牙语 (pt)、 波兰语 (pl)、土耳其语 (tr)、俄语 (ru)、荷兰语 (nl)、捷克语 (cs)、阿拉...
First, clone the repository and install the necessary dependencies: git clone https://github.com/nguyenhoanganh2002/XTTSv2-Finetuning-for-New-Languages.git cd XTTSv2-Finetuning-for-New-Languages pip install -r requirements.txt 2. Data Preparation Ensure your data is organized as follows: projec...
git clone https://github.com/microsoft/deepspeed cd deepspeed build_win.bat cd dist pip install deepspeed-X.X.X-cpXXX-cpXXX-win_amd64.whl DownloadXTTS-v2, get some speaker files and start the server: cd xtts-server git lfs install git clone https://huggingface.co/coqui/xtts-v2 -b mai...
An OpenAI API compatible text to speech server using Coqui AI's xtts_v2 and/or piper tts as the backend. - matatonic/openedai-speech
model_name = "tts_models/multilingual/multi-dataset/xtts_v2" print("Downloading XTTS Model:",model_name, flush=True) ModelManager().download_model(model_name) model_path = os.path.join(get_user_data_dir("tts"), model_name.replace("/", "--")) print("XTTS Model downloaded",flush=True...
XTTSv2 support UTF8 and Russian Speed-ups: streaming for generation, streaming for xtts, aggresive VAD voice commands: Google, stop, regenerate, delete, reset, call generation/tts interruption when user is speaking wav2lip streaming I used: whisper.cpp ggml-medium-q5_0.bin mistral-7b-instruct...