"-a",type=str,help="输出音频文件路径")args=parser.parse_args()print(args)text_dict=speech2text(args.audio)#print("视频内的文本是:\n"+text_dict["text"])print("视频内的文本是:\n"+json.dumps(text_dict,indent=4))if__name__=="__main__":main()...
There are plenty of use cases for online ASR systems. In fact, any real-time speech-to-text task, such as generating subtitles on the fly for live streams, can automatically generate the protocol of the judicial process in the court, assistance in contact centers, content moderation, and so...
usage: whisper_online.py [-h] [--min-chunk-size MIN_CHUNK_SIZE] [--model {tiny.en,tiny,base.en,base,small.en,small,medium.en,medium,large-v1,large-v2,large-v3,large}] [--model_cache_dir MODEL_CACHE_DIR] [--model_dir MODEL_DIR] [--lan LAN] [--task {transcribe,translate}] ...
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Node.js plugin for speech recognition that works with OpenAI's Whisper models using ONNX.. Latest version: 1.0.1, last published: a year ago. Start using whisper-onnx-speech-to-text in your project by running `npm i whisper-onnx-speech-to-text`. There ar
简介: 【机器学习】Whisper:开源语音转文本(speech-to-text)大模型实战 一、引言 上一篇对ChatTTS文本转语音模型原理和实战进行了讲解,第6次拿到了热榜第一🏆。今天,分享其对称功能(语音转文本)模型:Whisper。Whisper由OpenAI研发并开源,参数量最小39M,最大1550M,支持包含中文在内的多种语言。由于其低资源成本...
openAI-whisper-SpeechToText A speech-to-text model is a type of artificial intelligence model designed to convert spoken language or audio input into written text. This technology is commonly used in applications like transcription services, voice assistants, and accessibility tools for individuals with...
3、论文的主要卖点很简洁：Speech通过加数据和加大模型，ASR系统可以Robust，不用那些预训练啥的花里胡哨...
This is a wonderful speech-to-text app -- so much more accurate than Appl'e Siri voice transcription. Maybe 3% as many errors. Will it ever support Metal or the neural engine to improve performance? UPDATE: I recently did a lecture transcript from an audio file, and the last 80% or ...
Frequently Asked Questions (FAQs) about Speech-to-Text with Whisper, React, and Node In this article, we’ll build a speech-to-text application using OpenAI’s Whisper, along with React, Node.js, and FFmpeg. The app will take user input, synthesize it into speech using OpenAI’s Whisper...