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Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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SHA256 | 8b3dc0bb7ac6059b6342e81bbb1f47432bbfa7081d4efa860bbd3e1abdc720e1 |
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MD5 | 0ded98b19732636c23e5e3d3963386b2 |
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BLAKE2b-256 | c922008d6833df9d52c615a8d90e832ba426ee528fd22678f5dd82e73b41c18d |
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Hashes for sherpa_onnx-1.10.18-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | fcb72e7a9dc2ab0324a75a5afe60a4db0c9fb5c0430046e01e3c06a9dae84966 |
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MD5 | efe619367a520cb229bac0a1a50c91ca |
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BLAKE2b-256 | 1590d2ede5c0a120a6a6f2526abae83590ed9a1a7ad34cacd228d4d9684727ae |
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Hashes for sherpa_onnx-1.10.18-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
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SHA256 | 2f29af3e630d766c23089884a189dc483b0be63f36e46e9f4b9d16f56fca1b1a |
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MD5 | 7594d8a4c37ffb2eab5979c65fecf075 |
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BLAKE2b-256 | 23693c20d1925a4810d7245bb8f101aa11234951f04c9adbdc3f4d18315bc487 |
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Hashes for sherpa_onnx-1.10.18-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 995997045a237e3606bc91cb9d913f7a9efafe1f63e137c36d4ccb8ec2e01113 |
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MD5 | 1840fe969c4c6202c5758ad0f34feb26 |
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BLAKE2b-256 | 0034831f1fe6d3921985fd1bb7ccf6674dcdcb65320e4bb5930b762096ce26cc |
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Hashes for sherpa_onnx-1.10.18-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | 324ecfc52200b4bd72b1a84087d3c717c28e42e726c3d4c733c85f30366d2a7f |
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MD5 | 19b7db6a302adc69fe1571d41cc3af7b |
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BLAKE2b-256 | c18194249bb602b06bb8e13080b8305ad8e10179c5308027c7e7fcd71f49c4ef |
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Hashes for sherpa_onnx-1.10.18-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 27f0a0912db4a112e14201cb5130bff5bedc8b7670ea2d0cc414fa0ff63d3ea6 |
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MD5 | d7751db94b62cd917d9df739b9c486d0 |
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BLAKE2b-256 | 5123330a029b5f0b51607ba57b8698d0499e9e1908fbfad273b59d79b9f36b4d |
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Hashes for sherpa_onnx-1.10.18-cp37-cp37m-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4052b6f53b5b916b2a34b86cf5b8500f9f84fb853a38b35d0e9e6d66f9e93bfd |
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MD5 | 0486dbbfb19eaac5389bcf1b630e2750 |
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BLAKE2b-256 | bbb98da6211145aeabceda89d1bdcf0ff2bda8d341fb5bf43af1b7e6957a4ee5 |