The open source project Echosharp (/Sandrohana/Echosharp) is designed for nearly real -time audio processing, which can be seamlessly arranged for various audio analysis range. Echosharp's architecture focuses on flexibility and performance. Through integrated voice transfers text and voice activity detection components, nearly real -time transcription and translation are achieved.
Although this open source project is currently a 0.1 version, it is a general library that the author's further exploring the development project to run all ASR models. According to the GitHub discussion areaRoadmapPlanning: /sandrohanea/echosharp/discussions/4, the project may focus on the following directions:
- Speech processing services: Including the implementation of functions such as Speech Translation, Text to Speech (TTS), and Acoustic Echo Cancellation (AEC).
- Native model inference support: Simplify the model deployment process through abstract interfaces (such as download models, frame installation, preheating, etc.).
- AspNetCore integration: Plans to develop components to expose speech processing services, suitable for cloud or on-premises deployment of real-time speech applications (e.g. VoIP, conferencing software).
It is speculated that its core function may involveaudio stream processing、echo cancellation algorithmandVoice service encapsulation, similar to WebRTC's AEC module, but more lightweight or optimized for specific scenarios
- EchoSharp Overview：
- design goals: Echosharp aims to achieve near -real -time audio processing, seamlessly coordinate different AI models through flexible and high -performance architecture.
- Main functions: Supports near-real-time transcription and translation, integrating speech recognition and voice activity detection components.
- Main characteristic：
- Real-time audio processing: Minimize delay to ensure efficient and real -time processing results.
- Modular AI components: Provides a flexible interface to seamlessly integrate Speech-to-Text, VAD, and other AI models using interchangeable components. Efficiently manage and coordinate different AI models suitable for specific audio analysis tasks.
- Friendly developer: Consider the custom function when constructing, so that developers can create customized audio solutions.
- First -party component：
- : Based on the speech recognition component, supports multi-language transcription and local reasoning.
- : Use Silero VAD's voice activity detection components to accurately identify the voice bands and optimize audio processing pipelines.
- : Utilizes the speech recognition component of the OpenAI Whisper API to provide high-quality transcription.
- : Integrate the component of Azure voice service, support near -real real -time transcription and custom configuration.
- : Use the voice activity detection component of the WebRTC VAD algorithm to optimize audio processing efficiency.
- Experimental components：
- : Experimental component for speech recognition using ONNX models, supporting local inference and flexible integration.
- : Components using multiple onnx models to recognize voice recognition to support online and offline models.
- Resources and Information：
- Open source agreement: Use MIT license.
- future outlook: Echosharp will continue to develop, provide more functions and optimizations, and apply to broader audio processing needs.
Echosharp provides a flexible and efficient and high -efficiency time audio processing solution by integrating a variety of advanced AI models and components, which is suitable for application scenarios that require high -quality voice recognition and audio analysis.
Summarize
Echosharp is a C# audio processing library in the early planning stage. The goal is to provide developers with localized voice services and echo elimination functions. Its technical route integration .NET community's audio -related open source library, such as Naudio and other pre -training model libraries, may become important tool for lightweight real -time voice processing in the .NET ecosystem in the future. It is recommended to directly visit the GitHub project page to track the latest developments and participate in community construction.