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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
Description | URL | 中国用户 |
---|---|---|
Streaming speech recognition | Address | 点此 |
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
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Source Distribution
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MD5 | fd5d26065e200d4a29e5c7612cd65a65 |
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BLAKE2b-256 | aee2c6cd6dbb137f200084d6f062282e1b82db1afb9c0ab23abc0cc48560a028 |
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Hashes for sherpa_onnx-1.10.5-cp37-cp37m-win_amd64.whl
Algorithm | Hash digest | |
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SHA256 | b84b32ff71e0cbd853a1458f827d8e086375c2e35d0ead74a7ae069d12bce00b |
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MD5 | 3da615470c252bf311aef6a5f847e04f |
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BLAKE2b-256 | 39656765fc9ea3cf30aa99b748f7ece8e1f623f09e1c7baacbe3cf8c2f0a3337 |
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Hashes for sherpa_onnx-1.10.5-cp37-cp37m-win32.whl
Algorithm | Hash digest | |
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SHA256 | 3209ce3fc319923a0f3e45502dc90067a8c29d088c580309ab130eacd87ff5cb |
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MD5 | ff40df0a8b1ffa064f3a6226fefb5d4e |
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BLAKE2b-256 | 6e598b3b4d17d7eff5d1e6fe232b38c423521edf47deed60346ab47900cd1284 |
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Hashes for sherpa_onnx-1.10.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | 61f8a278be2cddd611fb30d49d3180f5af6c46ec272d9f742a0cd766fc91bbf1 |
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MD5 | 26372db0193e71f280fa812008f36c74 |
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BLAKE2b-256 | ffd231c3c144112285621925e6789e89a3a95aac32af63e591b381b8961414a3 |
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Hashes for sherpa_onnx-1.10.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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SHA256 | 1838c4d925b503ff8e648f874e964429f98c8e310c5bad81565bbcb823392d25 |
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MD5 | 753fbbaca5d19397d3fa7eb3eeda5916 |
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BLAKE2b-256 | e610af7eb7c40a565bbf02ffd9929b519e6ad229e1122367d51b943e38c19d27 |
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Hashes for sherpa_onnx-1.10.5-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | ac72b3470a901b62fa81cf871e40bded744e5380f33c3e8b6eb2682501074b0d |
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MD5 | 0ef2c9270633a2bc11fced0087f4192d |
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BLAKE2b-256 | 07f66d4a4453d8ced437c0fadd7c463853296f597e2f00e0f5c5075736266755 |
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Hashes for sherpa_onnx-1.10.5-cp37-cp37m-linux_armv7l.whl
Algorithm | Hash digest | |
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SHA256 | edf8828b0a8659ab3083ac463849f30ed18c9979564132461a3f8d3402ed0d4f |
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MD5 | 9d671b7f9ccf722d6037f1102b0d03e0 |
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BLAKE2b-256 | b82e31c3402078d3ec815b287eadcc753d571c31ab6e5d61dab243874c9fe908 |