The TEN framework achieves true cross-platform support through the following design:
- tiered architecture design: the core layer is written in C++ to ensure performance, and the interface layer provides multi-language bindings such as Python/JS.
- unified architecture: Automatically handle Windows/Mac/Linux compilation differences based on the Google GN toolchain
- run-time abstraction layer: Standardized encapsulation of system calls for audio capture, network communication, etc.
- Pre-compiled binary packages: Official pre-built libraries for mainstream platforms (x86/ARM) are provided to avoid environment configuration problems.
In practice, developers only need to: 1) select the target platform identification (such as -platform=linux-arm64) 2) run integration tests command npm run test-cross-platform. framework will be automated to deal with: Mac CoreAudio and Linux ALSA's audio interface adaptation on Mac and ALSA on Linux, Windows and Unix path conversion and other underlying differences. For mobile, it also provides React Native plugin for fast integration.
This answer comes from the articleTEN: An open source tool for building real-time multimodal speech AI intelligencesThe
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