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| | | FunASR provides a Chinese offline file transcription service that can be deployed locally or on a cloud server with just one click. The core of the service is the FunASR runtime SDK, which has been open-sourced. FunASR-runtime combines various capabilities such as speech endpoint detection (VAD), large-scale speech recognition (ASR) using Paraformer-large, and punctuation detection (PUNC), which have all been open-sourced by the speech laboratory of DAMO Academy on the Modelscope community. This enables accurate and efficient high-concurrency transcription of audio files. |
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| | | This document serves as a development guide for the FunASR offline file transcription service. If you wish to quickly experience the offline file transcription service, please refer to the one-click deployment example for the FunASR offline file transcription service ([docs](./SDK_tutorial.md)). |
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| | | <img src="docs/images/offline_structure.jpg" width="900"/> |
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| | | <img src="images/offline_structure.jpg" width="900"/> |
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| | | | TIME | INFO | IMAGE VERSION | IMAGE ID | |
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| | | |------------|----------------------------------------------------------------------------------------------------------------------------------|------------------------------|--------------| |
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| | | | 2023.11.08 | supporting punc-large model, Ngram model, fst hotwords, server-side loading of hotwords, adaptation to runtime structure changes | funasr-runtime-sdk-cpu-0.3.0 | caa64bddbb43 | |
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| | | | 2023.09.19 | supporting ITN model | funasr-runtime-sdk-cpu-0.2.2 | 2c5286be13e9 | |
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| | | | 2023.08.22 | integrated ffmpeg to support various audio and video inputs, supporting nn-hotword model and timestamp model | funasr-runtime-sdk-cpu-0.2.0 | 1ad3d19e0707 | |
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| | | | 2023.07.03 | 1.0 released | funasr-runtime-sdk-cpu-0.1.0 | 1ad3d19e0707 | |
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| | | ## Quick start |
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| | | ### Docker install |
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