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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 | Add punctuation |
---|---|
✔️ | ✔️ |
Supported platforms
Architecture | Android | iOS | Windows | macOS | linux |
---|---|---|---|---|---|
x64 | ✔️ | ✔️ | ✔️ | ✔️ | |
x86 | ✔️ | ✔️ | |||
arm64 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
arm32 | ✔️ | ✔️ | |||
riscv64 | ✔️ |
Supported programming languages
1. C++ | 2. C | 3. Python | 4. C# | 5. Java | 6. JavaScript |
---|---|---|---|---|---|
✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
7. Kotlin | 8. Swift | 9. Go | 10. Dart | 11. Rust |
---|---|---|---|---|
✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
For Rust support, please see https://github.com/thewh1teagle/sherpa-rs
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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MD5 | 5aaf79eac0f2a35dfb9494541fdad4b3 |
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BLAKE2b-256 | 80fb0897dd72c18733f26264a28d9f77efc8131cf2b1259304c53277043d93a2 |
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Hashes for sherpa_onnx-1.10.21-cp38-cp38-linux_armv7l.whl
Algorithm | Hash digest | |
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SHA256 | 52df96d2dafee91707fca9241d5aea2ccf0281aafbdacd5d89989cbfa7822a39 |
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MD5 | f3f566979246dac4442724fd28b8f1fb |
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BLAKE2b-256 | 75213dbdc3f111354de70f21dd6f4949444976a14af2dbd5faa6dddcc1cbed00 |
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Hashes for sherpa_onnx-1.10.21-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | 320101f8ddfceaf3e7fb287e446b386e5105bd730e1b893aebc3576b489b2edc |
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MD5 | 3814ae6709e51c5aa15e835fde395c08 |
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BLAKE2b-256 | eb0057800dc6c6a9717502d59259d8f9869d623b8e17cbac7abad9adaaf37e46 |
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Hashes for sherpa_onnx-1.10.21-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
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SHA256 | 1b0e398a7ca8bc3f15806b0dad81bc436c9de6f8658dbe73f9097e79d4564265 |
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MD5 | 5eece57db030e3861a385dc212d1914a |
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BLAKE2b-256 | 74dd2f9b0f14c17d3a7694dd9b094207b05fbacf3f8844de88be539d8170e103 |
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Hashes for sherpa_onnx-1.10.21-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 083ba4752926656a49d1887970a48529505f79f5ff71dd9751f81c843c26eb9f |
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MD5 | bfd1b74aad7d2a5b2ceeb11fef4a1a70 |
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BLAKE2b-256 | 2e8b4fad367bda9077b7d991b3e9bd646300581aec5f65ab4c613723ea21aeeb |
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Hashes for sherpa_onnx-1.10.21-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | c990b6d77060247440f51485146de0369c2c278e68a70f7a129f803eacf56109 |
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MD5 | e709b3e8ae8c2e984eea89ef07c923f5 |
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BLAKE2b-256 | 737011889302364716ab132e1992ca88c25129c5e156d13b104cc0afba1789a3 |
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Hashes for sherpa_onnx-1.10.21-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 9c408409757c732a4a812b04cc629fbb1bb1743359f8eed45e724d283083a589 |
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MD5 | 92dcc3dacc10b5a1902d0c592f9f478d |
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BLAKE2b-256 | 280386cf5178baaa79f8c04963200fb41f2783d2f556d35aeb5007d62b50cb20 |
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Hashes for sherpa_onnx-1.10.21-cp37-cp37m-linux_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 601e1188bb1a0b797a699b5226c8c304971da360f0dd3654dd6047f21e2001cc |
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MD5 | c45664ef83da84b250330e371eb6e88a |
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BLAKE2b-256 | 6f4db25311d5d7717993585284f2cd0da70a10dcbd25a3cbcd88db9b85d7f76b |