3bf986d08d
This PR adds support for non-streaming Zipformer CTC ASR models across multiple language bindings, WebAssembly, examples, and CI workflows. - Introduces a new OfflineZipformerCtcModelConfig in C/C++, Python, Swift, Java, Kotlin, Go, Dart, Pascal, and C# APIs - Updates initialization, freeing, and recognition logic to include Zipformer CTC in WASM and Node.js - Adds example scripts and CI steps for downloading, building, and running Zipformer CTC models Model doc is available at https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/icefall/zipformer.html
Introduction
This folder contains Go API examples for sherpa-onnx.
Please refer to the documentation https://k2-fsa.github.io/sherpa/onnx/go-api/index.html for details.
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./add-punctuation It shows how to use a punctuation model to add punctuations to text
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./non-streaming-decode-files It shows how to use a non-streaming ASR model to decode files
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./non-streaming-speaker-diarization It shows how to use a speaker segmentation model and a speaker embedding model for speaker diarization.
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./non-streaming-tts It shows how to use a non-streaming TTS model to convert text to speech
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./real-time-speech-recognition-from-microphone It shows how to use a streaming ASR model to recognize speech from a microphone in real-time
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./speaker-identification It shows how to use a speaker embedding model for speaker identification.
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./streaming-decode-files It shows how to use a streaming model for streaming speech recognition
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./streaming-hlg-decoding It shows how to use a streaming model for streaming speech recognition with HLG decoding
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./vad It shows how to use silero VAD with Golang.
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./vad-asr-paraformer It shows how to use silero VAD + Paraformer for speech recognition.
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./vad-asr-whisper It shows how to use silero VAD + Whisper
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./vad-speaker-identification It shows how to use Go API for VAD + speaker identification. for speech recognition.
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./vad-spoken-language-identification It shows how to use silero VAD + Whisper for spoken language identification.