An open source project that supports multiple speech recognition and speech synthesis functions
sherpa-onnx is a speech recognition and speech synthesis project based on the next generation Kaldi. It uses onnxruntime for inference and supports a variety of speech-related functions, including speech-to-text (ASR), text-to-speech (TTS), speaker recognition, speaker verification, language recognition, keyword detection, etc. It supports multiple platforms and operating systems, including embedded systems, Android, iOS, Raspberry Pi, RISC-V, servers, and more.
sherpa-onnx is suitable for developers and researchers, especially those who need to implement speech recognition and speech synthesis functions on different platforms. It provides a variety of APIs, including C++, C, Python, Go, C#, Java, Kotlin, JavaScript, and Swift, making it easy for developers with different backgrounds to use.
Real-time speech-to-text on Android devices using sherpa-onnx.
Use sherpa-onnx to perform batch speech recognition tasks on the server.
Using sherpa-onnx for keyword detection in embedded systems.
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