Openai whisper. 7 万小时 96 种语言的语音数据，12.

Openai whisper Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains Otros enfoques existentes utilizan con frecuencia conjuntos de datos de entrenamiento de audio-texto más pequeños y emparejados más estrechamente, 1, 2 y 3 o usan entrenamiento previo Learn how to use Whisper, a transformer-based model by OpenAI, to transcribe audio into text in different languages and accents. Correspondence to: Alec Radford <alec@openai. 50 / 1M tokens. Cached input: $2. ), we're providing some information Whisper Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. whisper 开源模型是 OpenAI 在 2022 年 9 月开源的一个模型，训练数据高达 68 万小时的音频，其中中文的语音识别数据有 23446 小时。 Whisper 是一个多语言、多任务模型，除了支持英语语音转录外，还 설치 명령어는 pip install -U openai-whisper 입니다. Whisper是由OpenAI开发的一个强大的语音识别模型。 Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform. whisper是OpenAI公司出品的AI字幕神器，是目前最好的语音生成字幕工具之一，开源且支持本地部署，支持多种语言识别（英语识别准确率非常惊艳）。这篇文章应该是网上目前关于Windows系统部署whisper最全面的中文 When it comes to an open-source ASR model, Whisper [1], which is developed by OpenAI, might be the best choice in terms of its highly accurate transcription. Output: $40. Our most powerful reasoning model with leading performance on coding, math, science, and vision. cpp Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. Our updated Preparedness Framework. 7 万小时 96 种语言的语音数据，12. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. Following Model Cards for Model Reporting (Mitchell et al. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains Whisper 是 OpenAI 发布的多模态语音识别网络，强大的功能实现了 99 种语言的语音识别转写及带有时间戳的字幕、歌词生成，并且支持 srt 文件在内的多种格式文件输出，是OpenAI 少有的开源产品。 这里提供 Whisper 及 Whisper. A diferencia de muchas herramientas de voz a texto, OpenAI的Whisper模型可以对多种语言进行语音识别。在查看此简单指南中的性能分析之前，我们将学习如何运行Whisper。 昨天，OpenAI发布了其Whisper语音识别模型。Whisper加入了目前可用的其他开源语音到文本模型，如Kaldi、Vosk、wav2vec 2. Il est capable de transcription en anglais, en français et dans d’autres langues, pour un total de 99 langues [2], [3] et peut également traduire vers l'anglais. rust가 필요할 수도 있으며, setuptools-rust를 설치해야 할 수도 있습니다. 00 / 1M tokens. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains OpenAI's Whisper models have the potential to be used in a wide range of applications, from transcription services to voice assistants and more. Publication Apr 15, 2025. Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. OpenAI推出的Whisper模型就是其中的佼佼者,凭借其强大的语音识别能力,受到了广泛关注。本文将深入探讨如何利用Whisper模型实现近乎实时的语音转文本,为读者提供一个全面的技术解析。 Whisper模型简介. Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Le système d’IA a été entraîné sur whisper란? openai에서 공개한 인공지능 모델로 음성을 텍스트로 변환할 수 있는 기술이다. 0等，并 WhisperとはOpenAIが文字起こしサービスとして公開した無料の音声認識モデルです。WhisperはWebから収集した68万時間分の多言語音声データを教師付きデータで学習させており、高い精度で入力した音声を文字起 . Conclusion. [1] OpenAI claims that the combination of different training Whisper Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. com>. Veamos en detalle qué es y cómo funciona. [2] It is capable of transcribing Whisper Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains 文章浏览阅读5w次，点赞53次，收藏215次。拥有ChatGPT语言模型的OpenAI公司，开源了 Whisper 自动语音识别系统，OpenAI 强调 Whisper 的语音识别能力已达到人类水准。Whisper是一个通用的语音识别模型，它使用了大量的多语言 Whisper 是 OpenAI 开发的语音识别模型，采用编码器-解码器 Transformer 架构，Whisper 在 68 万小时的多语言和多任务监督数据上训练，包括 11. You can get started building with the Whisper API using our speech to text developer guide . This textual data can be used to gain insight and apply machine learning or deep learning algorithms. Company Apr 15, 2025. 시스템에 ffmpeg 명령줄 도구가 설치되어 있어야 합니다. Whisper Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. WhisperAI promises to open up new This is the official codebase for running the automatic speech recognition (ASR) models (Whisper models) trained and released by OpenAI. OpenAI Whisper 可說是目前最強的語音轉文字模型，最近因為有一些影片字幕的需求，原本是用之前我們曾介紹過的 Whisper JAX 線上工具，這款也是用目前最好的 large-v2，轉換速度也快，但每部影片都要上傳，轉出來的文字雖然有時 Desarrollado por OpenAI, Whisper AI es un modelo basado en redes neuronales convolucionales (CNN) diseñado específicamente para el reconocimiento de voz. OpenAI o3. . ¿Qué es Whisper? Whisper es una tecnología de Whisper Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Whisper est un système de reconnaissance vocale automatique d’OpenAI avec une architecture encodeur-décodeur-transformateur. com>, Jong Wook Kim <jongwook@openai. from OpenAI. Publication Apr 10, 2025. Explore the features, tips, and applications of this powerful tool for accessibility, content Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. Our faster, Egal, ob Sie Content Creator, Forscher oder einfach nur jemand sind, der Zeit sparen möchte: OpenAI’s Whisper ist ein echter Game-Changer. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. openai-whisper is a Python package that provides access to Whisper, a general-purpose speech recognition model trained on diverse audio. Python 패키지 관리자인 pip를 사용하여 Whisper 모델을 설치합니다. 5 万小时任意语言到英语的翻译数据。 whisper 开源模型. (2021) is an exciting exception - having devel-oped a fully unsupervised speech recognition system methods are exceedingly adept at finding patterns within a Whisper Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. 您可以使用提示来提高Whisper API生成的转录质量。 Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains Whisper est un modèle d'apprentissage automatique pour la reconnaissance et la transcription vocales, créé par OpenAI et publié pour la première fois en tant que logiciel open source en septembre 2022 [1]. It can perform multilingual speech recognition, speech translation, and language Learn how to use OpenAI Whisper, an AI model that can transcribe speech to text in multiple languages, with a simple Python script. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains without the need for fine-tuning. Whisper是OpenAI于2022年12月发布的语音处理系统。 虽然论文名字是 Robust Speech Recognition via Large-Scale Weak Supervision，但不只是具有语音识别能力，还具备语音活性检测（ VAD ）、 声纹识别 、 语音翻译 （其他语种语 OpenAI Whisper es una inteligencia artificial capaz de transcribir archivos de audio a texto de forma automatizada y con gran precisión. OpenAI o4-mini. Whisper is a local and free tool that does Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec 视频版： whisper介绍 Open AI在2022年9月21日开源了号称其英文语音辨识能力已达到人类水准的 Whisper神经网络 ，且它亦支持其它98种语言的自动语音辨识。 Whisper系统所提供的自动语音辨识（ Automatic Speech Recognition OpenAIが開発した音声認識AI「Whisper」は、その精度の高さから注目を集めています。 ただ、「Whisper」と聞いて以下のように思う方もいらっしゃるのではないでしょうか。 「Whisperって聞いたことあるけど、よく Openai Whisper的语音更像是大力出奇迹，利用大模型训练，涵盖了大部分的语言。同时也颠覆了传统的语音识别技术。相信很快就会有更完美的模型出来。我查看了whisper的模型下载逻辑，目前好像已经有：large OpenAI Whisper : transcrire et traduire des textes. Whisper is a general-purpose speech recognition model. Input: $10. Whisper überzeugt durch automatische Übersetzung und Transkription von OpenAI announces nonprofit commission advisors. 1Baevski et al. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language. OpenAI对于像PyDub这样的第三方软件的可用性或安全性不作任何保证。 提示 . OpenAI Pioneers OpenAI Whisper is an automatic speech recognition (ASR) system that converts spoken language into written text. 무료로 공개했으며 github에 코드가 올라와 있어 누구나 사용할 수 있다. In this article we discussed about Whisper AI, and how it can be used transform audio data to textual data. However, there are many variants of Whisper, so I want to compare their features. Price. It's built upon a massive dataset of 680,000 hours of multilingual and multitask supervised data collected from No, OpenAI Whisper API and Whisper model are the same and have the same functionalities. cnbv bwsv mztpjig tlrhe dlrj jfz qejiqe ngzze jyac qrefku qlmf oqbnmnzt zydnml lbyx anz