Overview of Sherpa-ONNX
Sherpa-ONNX is a versatile project designed to support a wide range of speech and audio-related functions. It is designed to operate locally on multiple platforms and supports a plethora of programming languages, making it accessible and flexible for various use cases. Let's delve into the details of what Sherpa-ONNX offers.
Supported Functions
Sherpa-ONNX excels in providing a rich set of functionalities in the realm of speech and audio processing. This includes:
- Speech-to-Text (ASR): Supporting both streaming and non-streaming operations, Sherpa-ONNX can seamlessly convert spoken language into written text.
- Text-to-Speech (TTS): It can synthesize human-like speech from text.
- Speaker Diarization: Identifies and segments speakers in an audio stream.
- Speaker Identification and Verification: Determining and verifying the identity of a speaker.
- Spoken Language Identification: Identifying the language being spoken from audio.
- Audio Tagging: Annotating audio data with descriptive tags.
- Voice Activity Detection (VAD): Detecting the presence of human speech within audio.
- Keyword Spotting: Detecting specific keywords within a stream of audio.
- Punctuation Addition: Automatically adding punctuation to transcribed text.
Supported Platforms
Sherpa-ONNX is designed to be cross-platform, extending its capabilities to a variety of operating systems and devices:
- Processor Architectures: Compatible with x86, x64, ARM32, ARM64, and RISC-V.
- Operating Systems: Runs on Windows, macOS, Linux, Android, WearOS, iOS, and NodeJS.
- Hardware Devices: Supports specific hardware such as Raspberry Pi, RV1126, and VisionFive 2.
Supported Programming Languages
A key strength of Sherpa-ONNX is its ability to integrate with several programming languages, enabling developers from diverse backgrounds to harness its capabilities:
- Languages include C++, C, Python, Java, JavaScript, C#, Kotlin, Swift, Go, Dart, Rust, and Pascal.
- WebAssembly is also supported for browser compatibility.
Accessibility and Use
Developers and users looking to explore Sherpa-ONNX capabilities can do so through several pre-built resources and models:
- Pre-built Android APKs: Quick deployment on Android devices with applications like speaker diarization, streaming speech recognition, and more.
- Flutter and Lazarus Apps: Available for creating cross-platform applications with real-time features.
- Pre-trained Models: Offers a variety of models for different tasks and languages, providing immediate utility without needing additional training.
Community and Documentation
Sherpa-ONNX provides a comprehensive set of documentation and resources for developers to understand and enhance their projects using Sherpa-ONNX. It maintains an active presence on social platforms and communities, offering support and fostering a collaborative environment.
- Documentation: Detailed guides and manuals available online.
- Community Support: Engaged through WeChat and QQ groups, facilitating discussion and problem-solving among users.
In conclusion, Sherpa-ONNX stands as a robust and extensive project for handling various speech and audio processing tasks across platforms and languages. It is especially useful for developers looking to embed speech recognition, synthesis, and related functions into their applications with ease.