View sherpa-onnx on Snyk Open Source Advisor

Package Health Score

85 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Sustainable

Popularity

Popular

GitHub Stars: 3.31K
Forks: 387
Contributors: 90

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package sherpa-onnx, we found that it has been starred 3,315 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 27, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 159
Open PR: 18
Last Release: 9 days ago
Last Commit: 22 days ago

Further analysis of the maintenance status of sherpa-onnx based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that sherpa-onnx demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 90
Funding: No

With more than 10 contributors for the sherpa-onnx repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.6

Age: 12 months
Latest Release: 9 days ago
Dependencies: N/A
Versions: 10
Maintainers: 2
Wheels: Linux, macOS, Windows

Readme

Supported functions

Speech recognition	Speech synthesis
✔️	✔️

Speaker identification	Speaker diarization	Speaker verification
✔️	✔️	✔️

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. JavaScript
✔️	✔️	✔️	✔️

5. Java	6. C#	7. Kotlin	8. Swift
✔️	✔️	✔️	✔️

9. Go	10. Dart	11. Rust	12. Pascal
✔️	✔️	✔️	✔️

For Rust support, please see 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 diarization
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
爱芯派
etc

with the following APIs

C++, C, Python, Go, C#
Java, Kotlin, JavaScript
Swift, Rust
Dart, Object Pascal

Links for Huggingface Spaces

You can visit the following Huggingface spaces to try sherpa-onnx without installing anything. All you need is a browser.

Description	URL
Speaker diarization	Click me
Speech recognition	Click me
Speech recognition with Whisper	Click me
Speech synthesis	Click me
Generate subtitles	Click me
Audio tagging	Click me
Spoken language identification with Whisper	Click me

We also have spaces built using WebAssembly. They are listed below:

Description	Huggingface space	ModelScope space
Voice activity detection with silero-vad	Click me	地址
Real-time speech recognition (Chinese + English) with Zipformer	Click me	地址
Real-time speech recognition (Chinese + English) with Paraformer	Click me	地址
Real-time speech recognition (Chinese + English + Cantonese) with Paraformer-large	Click me	地址
Real-time speech recognition (English)	Click me	地址
VAD + speech recognition (Chinese + English + Korean + Japanese + Cantonese) with SenseVoice	Click me	地址
VAD + speech recognition (English) with Whisper tiny.en	Click me	地址
VAD + speech recognition (English) with Zipformer trained with GigaSpeech	Click me	地址
VAD + speech recognition (Chinese) with Zipformer trained with WenetSpeech	Click me	地址
VAD + speech recognition (Japanese) with Zipformer trained with ReazonSpeech	Click me	地址
VAD + speech recognition (Thai) with Zipformer trained with GigaSpeech2	Click me	地址
VAD + speech recognition (Chinese 多种方言) with a TeleSpeech-ASR CTC model	Click me	地址
VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-large	Click me	地址
VAD + speech recognition (English + Chinese, 及多种中文方言) with Paraformer-small	Click me	地址
Speech synthesis (English)	Click me	地址
Speech synthesis (German)	Click me	地址
Speaker diarization	Click me	地址

Links for pre-built Android APKs

You can find pre-built Android APKs for this repository in the following table

Description	URL	中国用户
Speaker diarization	Address	点此
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-built Lazarus APPs

Generating subtitles

Description	URL	中国用户
Generate subtitles (生成字幕)	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
Speaker segmentation	Address

Useful links

Documentation: https://k2-fsa.github.io/sherpa/onnx/
Bilibili 演示视频: https://search.bilibili.com/all?keyword=新一代Kaldi

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.

Projects using sherpa-onnx

voiceapi

Streaming ASR and TTS based on FastAPI

It shows how to use the ASR and TTS Python APIs with FastAPI.

腾讯会议摸鱼工具 TMSpeech

Uses streaming ASR in C# with graphical user interface.

Video demo in Chinese: 【开源】Windows实时字幕软件（网课/开会必备）

lol互动助手

It uses the JavaScript API of sherpa-onnx along with Electron

Video demo in Chinese: 爆了！炫神教你开打字挂！真正影响胜率的英雄联盟工具！英雄联盟的最后一块拼图！和游戏中的每个人无障碍沟通！

FAQs

What is sherpa-onnx?

. Visit Snyk Advisor to see a full health score report for sherpa-onnx, including popularity, security, maintenance & community analysis.

Is sherpa-onnx popular?

The python package sherpa-onnx receives a total of 47,142 weekly downloads. As such, sherpa-onnx popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is sherpa-onnx well maintained?

We found that sherpa-onnx demonstrated a healthy version release cadence and project activity. It has a community of 90 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is sherpa-onnx safe to use?

The python package sherpa-onnx was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 5 November-2024, at 04:00 (UTC).

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