Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Android Chinese TTS Engine Base On Tensorflow TTS , use for TfLite Models Test。安卓离线中文TTS引擎，在TensorflowTTS基础上开发，用于TfLite模型测试。
| Date | Stars |
|---|---|
| 2026-07-24 | 410 |
| 2026-07-25 | 409 |
| 2026-07-28 | 409 |
| 2026-07-30 | 409 |
| 2026-08-06 | 409 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Chinese TTS TF Lite [](https://github.com/benjaminwan/ChineseTtsTflite/issues) [](https://github.com/benjaminwan/ChineseTtsTflite) ### 介绍 使用Kotlin + JetPack Compose + Tensorflow Lite开发的TTS引擎，可以完全离线使用。 可选两种模型：FastSpeech和Tacotron，这两种模型均来自[TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS) 文字转拼音方法来自：[TensorflowTTS_chinese](https://github.com/tatans-coder/TensorflowTTS_chinese) 因为是实时推理输出音频，故对设备性能有一定要求。 其中FastSpeech速度较快，但生成的音频拟人效果较差，可以用于普通中端以上手机。 而Tacotron对性能要求较高，虽然总体效果更好，但因为速度很慢，故目前实用价值不大，仅供测试。 ### 手动编译说明 1. Android Studio 2021.2.1 2. 从下面的模型下载地址，下载models-tflite.7z，把如下4个文件解压到对应目录 3. 从下面的aar下载地址，下载裁剪版TensorFlow Lite的aar，把2个aar文件放到app/libs ``` ├─app/src/main/assets │ baker_mapper.json │ fastspeech2_quan.tflite │ mb_melgan.tflite │ tacotron2_quan.tflite ``` 3. 编译 ```shell ./gradlew assembleRelease ``` ### 模型下载 [下载地址](https://github.com/benjaminwan/ChineseTtsTflite/releases/tag/init) - models-tf.7z : 原始TensorflowTTS模型，一般用于PC端 - models-tflite.7z : 转换后的TFLite模型，一般用于移动端 ### 模型查看 [netron](https://github.com/lutzroeder/netron/releases) ### 裁剪TensorFlow Lite [缩减TensorFlow Lite二进制文件大小](https://tensorflow.google.cn/lite/guide/reduce_binary_size) [裁剪后aar下载](https://github.com/benjaminwan/ChineseTtsTflite/releases/tag/init) 裁剪前后的arr文件大小对比： * tensorflow-lite-2.8.0.aar: 5.4MB -> 3.7MB (68.5%) * tensorflow-lite-select-tf-ops-2.8.0.aar: 109.6MB -> 14.8MB (13.5%) ### 参考资料 [TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS) [TensorflowTTS_chinese](https://github.com/tatans-coder/TensorflowTTS_chinese) [tensorflow指南](https://www.tensorflow.org/lite/guide/android) [参考tf测试](https://colab.research.google.com/drive/1YpSHRBRPBI7cnTkQn1UcVTWEQVbsUm1S?usp=sharing) [参考tflite转换](https://colab.research.google.com/drive/1Ma3MIcSdLsOxqOKcN1MlElncYMhrOg3J?usp=sharing) [Google Pico TTS Source](https://android.googlesource.com/platform/external/svox/) ### 模型测试&转换 #### 转换环境配置 - Ubuntu: 20.04 LTS - Python: 3.8 ```shell $ git clone https://github.com/TensorSpeech/TensorFlowTTS.git $ cd TensorFlowTTS $ pip install . $ pip install git+https://github.com/repodiac/german_transliterate.git ``` #### 解压models-tf.7z #### TF模型测试 ```shell $ cd models-tf $ python test-h5.py ``` #### TF模型转TFLite ```shell $ python convert-tflite.py ``` ### APP界面截图 
Excerpt of 2,549 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5f282a2b9c4093fe, topic:tensorflow
matched fp:5f282a2b9c4093fe, topic:tts