sherpa_onnx 1.10.14
sherpa_onnx: ^1.10.14 copied to clipboard
Speech recognition, speech synthesis, and speaker recognition using next-gen Kaldi with onnxruntime without Internet connection.
Supported functions #
| Speech recognition | Speech synthesis | Speaker verification | Speaker identification |
|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ |
| Spoken Language identification | Audio tagging | Voice activity detection | Keyword spotting |
|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ |
Supported platforms #
| Architecture | Android | iOS | Windows | macOS | linux |
|---|---|---|---|---|---|
| x64 | ✔️ | ✔️ | ✔️ | ✔️ | |
| x86 | ✔️ | ✔️ | |||
| arm64 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
| arm32 | ✔️ | ✔️ | |||
| riscv64 | ✔️ |
Supported programming languages #
| C++ | C | Python | C# | Java | JavaScript | Kotlin | Swift | Go | Dart |
|---|---|---|---|---|---|---|---|---|---|
| ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
It also supports WebAssembly.
Introduction #
This repository supports running the following functions locally
- Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
- Text-to-speech (i.e., TTS)
- Speaker identification
- Speaker verification
- Spoken language identification
- Audio tagging
- VAD (e.g., silero-vad)
- Keyword spotting
on the following platforms and operating systems:
- x86,
x86_64, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64) - Linux, macOS, Windows, openKylin
- Android, WearOS
- iOS
- NodeJS
- WebAssembly
- Raspberry Pi
- RV1126
- LicheePi4A
- VisionFive 2
- 旭日X3派
- etc
with the following APIs
- C++, C, Python, Go,
C# - Java, Kotlin, JavaScript
- Swift
- Dart
Links for pre-built Android APKs #
| Description | URL | 中国用户 |
|---|---|---|
| Streaming speech recognition | Address | 点此 |
| Text-to-speech | Address | 点此 |
| Voice activity detection (VAD) | Address | 点此 |
| VAD + non-streaming speech recognition | Address | 点此 |
| Two-pass speech recognition | Address | 点此 |
| Audio tagging | Address | 点此 |
| Audio tagging (WearOS) | Address | 点此 |
| Speaker identification | Address | 点此 |
| Spoken language identification | Address | 点此 |
| Keyword spotting | Address | 点此 |
Links for pre-built Flutter APPs #
Real-time speech recognition
| Description | URL | 中国用户 |
|---|---|---|
| Streaming speech recognition | Address | 点此 |
Text-to-speech
| Description | URL | 中国用户 |
|---|---|---|
| Android (arm64-v8a, armeabi-v7a, x86_64) | Address | 点此 |
| Linux (x64) | Address | 点此 |
| macOS (x64) | Address | 点此 |
| macOS (arm64) | Address | 点此 |
| Windows (x64) | Address | 点此 |
Note: You need to build from source for iOS.
Links for pre-trained models #
| Description | URL |
|---|---|
| Speech recognition (speech to text, ASR) | Address |
| Text-to-speech (TTS) | Address |
| VAD | Address |
| Keyword spotting | Address |
| Audio tagging | Address |
| Speaker identification (Speaker ID) | Address |
| Spoken language identification (Language ID) | See multi-lingual Whisper ASR models from Speech recognition |
| Punctuation | Address |
Useful links #
- Documentation: https://k2-fsa.github.io/sherpa/onnx/
- Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi
How to reach us #
Please see https://k2-fsa.github.io/sherpa/social-groups.html for 新一代 Kaldi 微信交流群 and QQ 交流群.