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piper - fast and local neural text-to-speech engine

ncnn piper vits TTS 模型部署流水账 https://zhuanlan.zhihu.com/p/1941224089919426906

This is a sample ncnn android project, it depends on ncnn library

https://github.com/Tencent/ncnn

https://github.com/nihui/ncnn-android-piper/releases/latest

https://github.com/Tencent/ncnn/releases

• Download ncnn-YYYYMMDD-android-vulkan.zip or build ncnn for android yourself
• Extract ncnn-YYYYMMDD-android-vulkan.zip into app/src/main/jni and change the ncnn_DIR path to yours in app/src/main/jni/CMakeLists.txt

• Open this project with Android Studio, build it and enjoy!

• This project uses a custom dictionary to implement phonemizer
• If you need an espeak-ng phonemizer implementation(GPL), refer to #2

1. checkout https://github.com/OHF-Voice/piper1-gpl (113931937cf235fc881afd1ca4be209bc6919bc7)
2. apply patch piper1-gpl.patch
3. setup piper with

python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install -e .[train]

4. download piper checkpoint file (*.ckpt) from https://huggingface.co/datasets/rhasspy/piper-checkpoints
5. install pnnx via pip install -U pnnx
6. obtain export_ncnn.py script

python export_ncnn.py en.ckpt

1. prepare word list from https://github.com/Alexir/CMUdict
2. for each word, get phonemes via command ./espeak-ng -q -v en-us --ipa word
3. obtain config.json file from https://huggingface.co/datasets/rhasspy/piper-checkpoints
4. replace phonemes with ids according to phoneme_id_map in config.json
5. write dict binary word1 0円x00 ids1 0円xff word2 0円x00 ids2 0円xff .....