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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
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Source Distribution
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SHA256 | e50682741d6440f2d2eed9aa3d568e963fd61c739875a5ba7135686cefbcd500 |
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MD5 | 9ab6541d2f0a1901ee4ce958b58d4571 |
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BLAKE2b-256 | 3c3fc6f1a214791bf2ef2aece9cccfab130d63405d3922f7ab0d4996eba5da21 |
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Hashes for sherpa_onnx-1.10.19-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 7a9cdde98e88ed3911f7ca0ef8901d00150cb65513dfe282fc584d3ee1c1185c |
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MD5 | ae19ca1f5d25b5f78b7b5a39f1f418b9 |
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BLAKE2b-256 | ba1ebded948c53392027d66bdf38491996579d20e4223fe35c663afa7043072d |
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Hashes for sherpa_onnx-1.10.19-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
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SHA256 | dac41008b8857b5dc83d34b6246d010efc72aa41884d57dda1e9ab7363b9df0a |
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MD5 | a43d574c8dfedab29fbac66c2bddb65b |
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BLAKE2b-256 | 9d8bad279a4a10206b71b30d19ec8fa2fbda377038d2555e723281f1b5ab00a9 |
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Hashes for sherpa_onnx-1.10.19-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 4b496436047bed9b04da01e5a08f665396afcf91d75ef31c7e8b888ad871c3e5 |
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MD5 | 55681dc4e3a50e2a0cfcdd4f1363b24b |
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BLAKE2b-256 | b95f73ac739d4aba3ffee0e99888b534e55c3a514be2ba9b597c248d4aae228d |
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Hashes for sherpa_onnx-1.10.19-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 617a95019506901bd98c46da91520896286d2d0099304495c69e19b436354445 |
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MD5 | a9a131ea665989ad05b50dbc0bae7974 |
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BLAKE2b-256 | 1b8e2a48b0c94ed5304039620d9ebe57c632a952d7f73a91690d27a6e71f4652 |
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Hashes for sherpa_onnx-1.10.19-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 6939ab3ee087509cc68e405b2337035304af6b3850bbae402592ae371594c685 |
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MD5 | 3a4cec61530588f3f97e3fdb75fffe86 |
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BLAKE2b-256 | 1cb1954198db373d48f0f0cac4eeb2d1e4fb18cf5c3e16790d82ab35175c6808 |
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Hashes for sherpa_onnx-1.10.19-cp37-cp37m-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ada4792c64c3723d5d33f0d45777d0366f971ae9cd823bfe16e32a7ca7529583 |
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MD5 | 007a87de67d50dfbab4e8601d69f96a5 |
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BLAKE2b-256 | 98f165545fcbe8d3e1cbeef3ef39a4ba24e1d75140cf62ce69c1805361b03234 |