Whisper jax android. If so, I would like to know the rough timeline.
Whisper jax android. Im Vergleich zu OpenAI's PyTorch-Code läuft Whisper JAX über 70-mal schneller, was es zur schnellsten Whisper-Implementierung macht. 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. — рассказываем как пользоваться, рейтинг, отзывы и обзор на ИИ. Transcribe audio efficiently! Feb 20, 2024 · Doing so involves the following steps: Installing jax[tpu] Follow directions to setup whisper-jax as an endpoint modify app/app. Among these choices, whisperx,Whisper by OpenAI and Open AI Whisper are the most commonly considered alternatives by users. Key features and advantages include: We would like to show you a description here but the site won’t allow us. Running on JAX with TPU v4-8 backend, Whisper JAX is 70 times faster than PyTorch on A100 GPU. JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU. en. But those with different CUDA/PyTorch/Hardware versions had varying results, and sometimes PyTorch was faster. I'd like to know your thoughts on this. - sanchit-gandhi/whisper-jax Whisper JAX was tested using Python 3. wav) Click on the "Transcribe" button to start the transcription Apr 29, 2023 · Transcription execution time using Whisper’s PyTorch implementation against Whisper JAX in GPU for the large model (image by author) On the other hand, when comparing the CPU performance, our results show that Whisper JAX outperforms the PyTorch implementation. Compared to PyTorch running on an A100 GPU, Whisper JAX is more than 70 times faster, making it the fastest available Whisper API. from OpenAI. I have tried to record, submit my recording in mp3 or m4a format and even tried a youtube video. Whisper JAX - JAX implementation of Whisper for up to 70x speed-up on TPU. May 24, 2023 · The Road Ahead for Whisper JAX and ASR As Whisper JAX continues to evolve and attract more interest from the developer and research community, its impact on ASR technology will only grow. It provides significant performance improvements over the original PyTorch implementati Apr 30, 2023 · For the past 12 hours, whisper jax is not working properly in your demo. However, there are many other excellent options in the market. Designed for professionals across diverse sectors Whisper-JAX is an optimized JAX implementation of OpenAI's Whisper model for speech recognition and translation. It is powered by JAX and utilizes a TPU v4-8 in the backend. - sanchit-gandhi/whisper-jax Nov 11, 2023 · 「语音转换新速度」— 探秘Whisper JAX的70倍速提升，在AI的众多分支中，语音识别技术的突破性进展尤为引人瞩目。由SanchitGandhi开发的WhisperJAX就是这一创新旅程中的新星。它是OpenAI的Whisper模型的JAX版本，实现了在TPU上高达70倍的速度提升，这不仅是对现有技术的重大突破，更是对未来潜力的一次展现 在AI的众多分支中，语音识别技术的突破性进展尤为引人瞩目。由Sanchit Gandhi开发的Whisper JAX就是这一创新旅程中的新星。它是OpenAI的Whisper模型的JAX版本，实现了在TPU上高达70倍的速度提升，这不仅是对现有技… What is Whisper JAX? Whisper JAX is an innovative AI tool hosted on Hugging Face's platform, designed to transform how we interact with audio content. Mar 20, 2023 · I presume this is using Whisper, but it's still not really useful for day to day use on Mac OS . Whereas, if you decide to install Whisper locally, the process can get somewhat technically daunting, and you still need to have a powerful system to ensure decent transcription speeds. When choosing an Whisper JAX Whisper JAX is a new transcription API that claims to be 70 times faster than Whisper. 4. Nov 29, 2023 · We found Whisper JAX to be faster than Hugging Face Transformers' Whisper (same as insanely-fast-whisper) on our experiment. Whisper JAX stands out as the fastest Whisper API, tailored for speed and powered by advanced TPU technology, bringing transformative change to speech recognition applications. Compared to PyTorch on an A100 GPU, it is over 70x faster, making it the fastest Whisper API available. Whisper JAXWhisper JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. Whisper JAX is an advanced speech-to-text tool that delivers real-time transcription with robust support for multiple languages, ensuring seamless communication Jun 21, 2023 · This guide can also be found at Whisper Full (& Offline) Install Process for Windows 10/11 Whisper Full (& Offline) Install Process for Windows 10/11 Purpose: These instructions cover the steps not Jan 22, 2024 · 本文推薦的免費語音轉文字AI人工智慧工具，採用的是open AI的Whisper large-v2 模型，最大的特色就是免費使用、介面簡單、生成速度快而且準確度高達97%以上。不論是錄音檔、會議記錄、製作srt字幕檔都能快速生成逐字稿。而且也提供Youtube線上影片直接轉成字幕檔。除了語音轉文字，同時也提供翻譯 Apr 22, 2024 · 市面上很多好用的語音轉文字工具，都是要付費的？介紹一款真正免費，而且快又方便的AI工具Whisper JAX。不僅可以快速語音轉文字，而且可以辦識世界上大部份的語音，你不用再擔心開會時神遊而漏了重點，且可以大幅縮短整理會記錄的時間。 The Whisper model is still the best open source model I've found. It enables the transcription of 30 minutes of audio in just 30 seconds, utilizing cloud TPUs for accelerated processing. More information is available WhisperKit Android brings Foundation Models On Device for Automatic Speech Recognition. Apr 28, 2023 · However, whisper-jax does not implement the same transcription logic as openai/whisper so the transcription quality is probably reduced and the output less consistent. 5. If we implement a similar batching strategy here it's likely that we can match or even surpass the speed of whisper-jax on GPU. com/CWH-AILink to the Repl: https://replit. replit. Whisper JAX 真好用！ ｜泛科學院 #ai #aitools #逐字稿 #影片 #字幕 #SRT #聲音辨識 #免費 #線上軟體 #tips 泛科學院 161K subscribers Join 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. Fast and accurate automatic speech recognition (ASR) for edge devices - moonshine-ai/moonshine May 18, 2024 · TLDR Whisper JAX is a revolutionary tool that combines the Whisper open-source library with Google's JAX for high-performance computing. Compared to similar models like incredibly-fast-whisper, whisper-large-v3, whisper, and whisperx, whisper-jax promises up to 15x speed-up, though it does not support TPU. Whisper is a general-purpose speech recognition model. Conclusion In summary, Faster Whisper has significantly improved use AI to translate and transcribe your audio or video files, without having an internet connection on your own PC, this method uses BUZZ, a new AI translati Whisper JAX — это ИИ-продукт, предлагающий оптимизированный код JAX для модели Whisper от OpenAI. Hi everyone, I know that there are some different versions of Whisper available in the open-source community (Whisper X, Whisper JAX, etc. Sep 18, 2023 · Whisper JAX 免費開源的語音轉文字工具，基於 OpenAI Whisper 模型進行優化，語音轉錄文字速度提升 70 倍，並於 Hugging Face 平台上建立演示模型，支援線上錄音、上傳音訊檔和輸入 YouTube 影片連結，簡單易於操作。 Jul 12, 2023 · 이번 게시글에서는 Colab으로 OpenAI Whisper with Jax를 이용하여 mp3 파일을 텍스트로 변환하고 자막을 생성하는 방법을 소개해드리려고 합니다. Sep 21, 2022 · We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition. But as far as multiple speakers, don't use Whisper by itself - you need to combine it with a good diarization model. cpp, faster-whisper, whisperX, buzz, FunASR, PaddleSpeech, and RTranslator. The platform boasts an intuitive user interface that allows new users to quickly familiarize themselves with the system and begin communicating securely without a steep learning curve. Whisper Large V3: Transcribe Audio Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the OpenAI Whisper checkpoint openai/whisper-large-v3 and 🤗 Transformers to transcribe audio files of arbitrary length. It is an essential component of many blockchain-based applications, such as Ethereum, where privacy and security are crucial. At its core, Whisper JAX specializes in accurate and efficient speech recognition, enabling users to convert spoken language into written text with remarkable precision. When compared to PyTorch on an A100 GPU, Whisper JAX is more than 70 times faster, making it the quickest Whisper API currently available. com/google/jax#installation 查看本机CUDA版本 tail /usr/local/cuda/version. 嫌影片太長看不完？ 外語影片沒有中文字幕？ 全都一次解決｜Memo AI & Whisper JAX｜泛科學院 泛科學院 • 105K views • 1 year ago Apr 20, 2023 · OpenAI’s Whisper has come far since 2022. The application utilizes the Whisper model, providing real-time language processing and enabling users to extract textual content from audio files seamlessly. Whisper JAX is a Hugging Face Space created by sanchit-gandhi for efficient speech recognition using JAX, providing a platform for transcribing audio with high performance and scalability. Mar 31, 2024 · Whisper realtime streaming for long speech-to-text transcription and translation Note: In 2025, WhisperStreaming is becaming outdated, replaced by SimulStreaming. Transcribe (Turn audio into text) for MANY languages, all completely fo Discover Whisper Jax, a faster Whisper implementation using Jax for optimized speech recognition on GPUs and TPUs. Step 1: 在Google搜尋 Whisper JAX, 並連結到Hugging Face的 Whisper JAX 平台. However, there are many variants of Whisper, so I want to compare their features. I too was looking for the fastest whisper implementation for my 2080ti desktop, and this jax repo was 2x slower than the baseline official pytorch one 10 second mp3 clip Oct 18, 2023 · 安装jax 参见https://github. Whisper JAX is a highly efficient version of the Whisper model developed by OpenAI. cpp - Port of Whisper in C++. 5倍得到，且加了正则化技术。而今天，一位网友Sanchi… JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU. Whisper JAX - Оптимизированная реализация модели WhisperНейросети Транскрибация аудио и видео Jun 10, 2024 · Introducing Whisper JAX: The Lightning-Fast Whisper API Experience lightning-fast automatic speech recognition with Whisper JAX, the optimized Whisper model by OpenAI. If so, I would like to know the rough timeline. Ideally, I want to press a button and, with a Whisper app loaded in the background, I can use speech to text in any application. Before we move on to running Whisper JAX on Flyte, let's first run the Whisper PyTorch pipeline on Flyte. They even got it running on Android phones! Transcriptions matter more This repository offers two Android apps leveraging the OpenAI Whisper speech-to-text model. Bindings for many languages WhisperX - Adds fast automatic speaker recognition with word-level timestamps and speaker diarization. The Whisper model uses a messaging protocol that allows for secure communication across a decentralised network. 如何使用 Whisper JAX Whisper JAX 的使用非常簡單. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting. Average inference time in seconds for audio files of increasing length. Learn more about Whisper JAX, it's features, use-cases, who it's for, and more. Users can leverage message tagging This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. With its unparalleled speed, Whisper JAX allows users to transcribe audio at an unprecedented rate. Feel free to download the openai/whisper-tiny tflite-based Android Whisper ASR APP from Google App Store. Turning Whisper into Real-Time Transcription System Demonstration paper, by Dominik Macháček, Raj Dabre, Ondřej Bojar, 2023 Abstract: Whisper is one of the recent state-of-the-art multilingual speech recognition Oct 26, 2022 · OpenAI Whisper - лучшая на сегодняшний день альтернатива Google speech-to-text с открытым исходным кодом. Jupyter Notebook 4. This makes it an ideal tool for a faster-whisper - Faster Whisper transcription with CTranslate2 vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU. Anything larger uses a ton of swap space (I got up to 12 GB of swap in one of my tests) Fortunately, even with the smaller models, it appears to work. - sanchit-gandhi/whisper-jax Browse Whisper Jax Нейро AI, discover the best free and paid AI tools for Whisper Jax Нейро and use our AI search to find more. Whisper JAX is a JAX/Flax implementation of OpenAI’s Whisper model that provides significant performance improvements through GPU acceleration and optimized inference. com/@codewithharry/OpenAI-WhisperThis video is a part of my Generative AI pla Whisper JAX is an optimized version of the Whisper model developed by OpenAI. It runs on JAX with a TPU v4-8 in the backend. The JAX code is compatible on CPU, GPU and TPU, and can be run standalone (see Pipeline Usage) or as an inference endpoint Whisper JAX is meticulously optimized to improve the efficiency of transcription services, delivering accurate and reliable transcriptions of your audio files. Whisper JAX is an AI tool for precise transcription and content generation, using advanced ML to streamline audio-to-text workflows efficiently. git datasets soundfile librosa yt_dlp cached_property Whisper JAX 是 OpenAI 的 Whisper 模型最佳化實踐範例，它可將使用者的即時錄音、音訊檔或是 YouTube 線上快速辨識並轉換為純文字格式，也就是使用 AI 技術的影片聲音轉文字工具，支援繁體中文。 Boost your productivity with Whisper JAX's AI-powered transcription tool, delivering 5x faster and accurate transcriptions. Dec 20, 2023 · Whisper JAX 產出的 逐字稿正確性 沒有問題. 4k次，点赞19次，收藏30次。Whisper 是一种语音识别模型，可以执行多语言语音识别、语音翻译和语言识别、支持附加时间戳的字幕导出功能等功能。这里呢，我将给出我的一些代码，来帮助你尽快实现【语音转文字】的服务部署。_java调用本地部署的语音识别模型whisper Minimal whisper. It provides faster transcription with enhanced performance while maintaining the accuracy and language support of the original model. json CUDA Jun 12, 2023 · I require guidance on incorporating Whisper OpenAI into my Android application developed with Kotlin in Android Studio. It is designed to operate on JAX with a TPU v4-8 in the backend. Compared to OpenAI's PyTorch code, Whisper JAX runs over **70x** faster, making it the fastest Whisper implementation available. The current feature set is a subset of the iOS counterpart, but we are continuing to invest in Android and now welcome contributions from the community. View features, pros, cons, and usage examples. This user-friendly approach is enhanced by several advanced features designed to facilitate efficient collaboration. In this blog, I will Signup on Replit: http://join. The key features and advantages of Whisper JAX include: Apr 24, 2023 · Whisper JAX is an optimized implementation of the Whisper model by OpenAI. The JAX code is compatible Whisper JAX is an optimised implementation of the Whisper model by OpenAI. Faster-whisper is a reimplementation of OpenAI's Whisper model using CTranslate2, which is a fast inference engine for Transformer models. faster-whisper - Faster reimplementation of Whisper using CTranslate2. Discover amazing ML apps made by the community Compare Whisper-jax with alternative projects. We also see a more drastic difference to faster-whisper. It extends the performance and feature set of WhisperKit from Apple platforms to Android and Linux. ), but I'm keeping updated with the best version of the model. Whisper JAX is an implementation of OpenAI’s open-source Whisper model, and can transcribe 1 hour of audio in 15 seconds. - sanchit-gandhi/whisper-jax Aug 30, 2024 · 结语 Whisper JAX代表了语音识别技术的一个重要里程碑。它不仅大大提高了处理速度,还保持了Whisper模型的高准确性。随着更多开发者和研究者开始使用和改进Whisper JAX,我们可以期待看到更多创新的语音识别应用出现。 无论您是开发者、研究者还是对语音技术感兴趣的爱好者,Whisper JAX都值得您深入探索 Whisper. Perfect for seamless audio-to-text conversions in minutes. on the 🤗 Hugging Face Transformers Whisper implementation. In fact, if an audio is 5 minutes long, it would still take 3-4 minutes for transcribing it, although I have followed the similar steps as the ones in the We’re on a journey to advance and democratize artificial intelligence through open source and open science. Over 70x faster than PyTorch on an A100 GPU. May 30, 2023 · Data for Whisper JAX from the Huggingface Space I guess, the result speaks for themselves. Whisper是OpenAI在2022年9月份开源的自动语音识别模型。官方宣传其英语的识别水平与人类接近。而2个月后，官方就发布了Whisper V2版本，是第一个版本继续训练2. However, most tools are expensive and not as accurate as you'd like them to be. Apr 22, 2023 · Can Whisper-JAX also translate audio streams in real time from X -> Y, both of which are non-English languages? Additionally I have tried Whisper JAX on JupyterHub and for some reason it does not transcribe/translate under 10 seconds for me. Он работает на 100 языках (определяется автоматически), добавляет пунктуацию и даже может перевести результат, если это Whisper JAX This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. 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. GPU device is a single A100 40GB GPU. Apr 29, 2023 · Figure 2: Transcription execution time using Whisper’s PyTorch implementation against Whisper JAX in GPU for the large model (image by author) On the other hand, when comparing the CPU performance, our results show that Whisper JAX outperforms the PyTorch implementation. We would like to show you a description here but the site won’t allow us. Try the demo here and transcribe a 1 hour of audio in under 15 seconds: https Whisper JAX lets you transcribe or translate audio directly from your microphone, an uploaded file, or a YouTube video. Características, precio, video guía y opiniones de Whisper Jax. How long is fine for you? Like, 2s delay for the answer? I research whisper for a company project I work. See comparison. The OpenAI has done some fantastic things. This has a lot of requirements including Tasker obviously Termux Termux:Tasker Termux:API - Not necessarily needed. Figure 1: Can we make sense of sound efficiently? (source) Speech-to-text has become more popular than ever, especially with the rise of Large Language Models (LLMs) and needed complementary speech-to-text (STT) capabilities. It’s designed for high-throughput speech recognition applications requiring fast processing speeds. Jun 1, 2024 · Whisper JAX 是一款線上免費的語音轉文字工具，採用OpenAI的Whisper large-v2模型，具有高達97%以上的準確度。它能夠快速生成逐字稿、字幕檔，並提供翻譯功能。無論是錄音檔、會議記錄，還是YouTube影片，Whisper JAX都能輕鬆應對，並且操作簡單、介面友好。 OpenAI has done some fantastic things. Jun 2, 2023 · I would like to know if there is any plans in the works to offload speech and recognition processing to an Edge TPU like Coral. (by sanchit-gandhi) I released Whisper Android App based on Whisper. Whisper is a great project open to the public. We compare Whisper and Whisper JAX, highlight the main differences between PyTorch and JAX, and develop a pipeline to evaluate the speed and accuracy between both implementations. I would take a look at the whisperX project which uses faster-whisper (4x speed increase over openAI/whisper) and has VAD and diarization capability included. Developed with cutting-edge technology, this tool is tailored for . Whisper large-v3 has the same Whisper JAX is a new approach towards implementing the Whisper model that has been optimised to enhance its performance and scalability. Get real-time updates through our progress bar feature, and leverage our repository to create your own inference endpoint and skip the queue. Ease of use is another cornerstone of Whisper JAX's design. Learn more about using Guest mode Whisper JAX This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. whisper-jax JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU. Whisper JAX is available on HuggingFace, and there’s a nifty demo which allows users to test out their transcription services. See below OpenAI's Whisper Apr 29, 2023 · Transcription execution time using Whisper’s PyTorch implementation against Whisper JAX in GPU for the large model (image by author) On the other hand, when comparing the CPU performance, our results show that Whisper JAX outperforms the PyTorch implementation. With a user-friendly interface and high adaptability, Whisper-jax stands out as a robust solution for various transcription needs. We utilise the docker manifest for multi-platform awareness. Whisper JAX This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. However, the This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. The Whisper is a general-purpose speech recognition model. com/camenduru/whisper-jax. It also includes a Python script for model generation and pre-built APKs for straightforward deployment. The video demonstrates the impressive speed and accuracy of Whisper JAX, showcasing its ability to transcribe a 2. 不過 MAC 電腦或手機使用者無緣使用。 這次的教學是 WhisperDesktop 的線上版。 除了速度更快之外，還可以直接由網址將 Youtube 影片辨識成文字。 Whisper Contribute to camenduru/whisper-jax-colab development by creating an account on GitHub. Unfortunately, I haven't come across any relevant instructions or details reg Feb 15, 2024 · 本文分享 OpenAI Whisper 模型的安裝教學，語音轉文字，自動完成會議記錄、影片字幕、與逐字稿生成。 談到「語音轉文字」，或許讓人覺得有點距離、不太容易想像能用在什麼地方? 事實上，商務人士或學生都有機會遇到「語音轉文字」的工作，而且一旦遇到，大機率是個冗長煩人的工作(例如整理 Jun 8, 2024 · So, if you're using the online Whisper Jax free demo, you'd need to be okay with waiting during peak hours. It once needed costly GPUs, but intrepid developers made it work on regular CPUs. Whisper JAX ist eine optimierte Implementierung des Whisper-Modells von OpenAI, die auf JAX basiert und auf CPU, GPU und TPU lauffähig ist. Whisper Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Whisper JAX: Revolutionizing Audio TranscriptionWhisper JAX, a cutting-edge AI tool hosted on Hugging Face, is transforming the way we interact with audio content. 5倍得到，且加了正则化技术。而今天，一位网友Sanchi… I was inspired by u/joaomgcd 's post on transcribing with OpenAI's Whisper. Aug 14, 2024 · **Whisper JAX 深度使用指南总结** Whisper JAX 是一个由Sanchit Gandhi创建的开源项目，基于OpenAI的Whisper模型在JAX平台上的实现。 该项目以其卓越的并行计算能力，尤其是在TPU上，相较于传统的PyTorch版本，实现了高达70倍的速度提升，成为目前最快速的Whisper模型实现之一。 Whisper JAX is an optimised implementation of the Whisper model by OpenAI that's built on JAX with a TPU v4-8 for maximum efficiency. However, a quality comparison between faster-whisper and Whisper JAX cannot be made because different hardware was used in the tests. Whisper JAX is an advanced speech synthesis tool built on the JAX library, designed for generating high-quality synthetic speech. In this blog, I will Mar 23, 2025 · In the following sections, we go through the details of what changed with this new approach. 5-hour podcast in 31 Fast and accurate automatic speech recognition (ASR) for edge devices - moonshine-ai/moonshine JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU. Whisper JAX is 17x faster than the official API. whisper Aug 5, 2025 · Exploring the top open-source STT models based on Hugging Face's trending models and the Open ASR Leaderboard. Transcribe (Turn audio into text) for MANY languages, all completely fo Nov 14, 2024 · Photo by Pawel Czerwinski on Unsplash R ecently, I research automatic speech recognition (ASR) to make transcription from speech data. whisper-timestamped - Adds word-level timestamps and confidence scores. Specifically, I'm trying to understand the best Whisper implementation for a task to transcribe a big batch of videos (~10k videos, ~30min long). Step 2: Jun 14, 2025 · Model overview whisper-jax is a faster and cheaper implementation of OpenAI's Whisper model, developed by the maintainer alqasemy2020. This free speech-to-text tool enables you to upload your audio files for free and get back high-quality transcriptions, powered by the OpenAI Whisper Whisper is a general-purpose speech recognition model. tflite ~40MB quantized model to the Android App Store for testing; if anyone is interested, please let me know. Thanks! Whisper JAX – Услышьте шепот эффективного обмена информацией. en or openai/whisper-tiny. This container provides a Wyoming protocol server for faster-whisper. This would increase speed of recognition & speech generation, while lowering CPU demand. To help you find the solution that best fits your needs, we have carefully selected over 30 alternatives for you. py to use openai/whisper-base. Dec 19, 2023 · Whisper 是 OpenAI 推出的開源模型，也是目前最強的語音轉文字 AI 模型，支援超多語言，包括繁體中文，因此有語音轉文字需求的人，非常推薦使用。而這篇要介紹的 Whisper Jax，就是一款採用 Whisper 的線上工具，支援上傳聲音檔、麥克風、以及 YouTube，轉換速度快，精準度非常高，完全免費。 Whisper JAX ⚡️ This Kaggle notebook demonstratese how to run Whisper JAX on a TPU v3-8. It leverages the efficiency and scalability of JAX to deliver state-of-the-art text-to-speech capabilities in research and production environments. Jan 16, 2024 · 文章浏览阅读7. Accurate transcription with a progress bar. One app uses the TensorFlow Lite Java API for easy Java integration, while the other employs the TensorFlow Lite Native API for enhanced performance. Compared to OpenAI's PyTorc whisper-jax VS faster-whisper Compare whisper-jax vs faster-whisper and see what are their differences. ※ 사용법은 바로 [OpenAI Whipser mp3 파일 텍스트 변환하기]부터 읽으시면 됩니다. You choose whether to get a transcription or translation and can optionally i Whisper JAX: The fastest Whisper API available. cpp example running fully in the browser Usage instructions: Load a ggml model file (you can obtain one from here, recommended: tiny or base) Select audio file to transcribe or record audio from the microphone (sample: jfk. Whisper JAX is a highly optimised JAX implementation of the Whisper model by OpenAI, largely built on the 🤗 Hugging Face Transformers Whisper implementation. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al from OpenAI. Это самая быстрая реализация Whisper, работающая в 70 раз быстрее, чем код PyTorch от OpenAI. Jun 4, 2025 · Whisper是OpenAI研发的开源语音转文本模型，支持多语言，参数量灵活。基于transformers库，实现简单高效的语音识别，适用于音乐识别、私信聊天等场景。提供完整代码示例，助力技术应用与部署。 Whisper JAX is a superb AI tool in the Machine Learning field. Dec 20, 2023 · Whisper JAX is an optimised implementation of the Whisper model by OpenAI. 9 and JAX version 0. Model inputs and outputs whisper-jax takes a single input, an audio file in a supported !pip install -q git+https://github. 除非音檔的發音太模糊, 否則Whisper JAX語音轉文字的正確性是沒有問題的. 6k 406 Aug 14, 2025 · Which are the best open-source Whisper projects? This list will help you: whisper. Whisper JAX: Fast, optimized, accurate audio transcription tool with progress bar. The demo tried to process b Whisper是OpenAI在2022年9月份开源的自动语音识别模型。官方宣传其英语的识别水平与人类接近。而2个月后，官方就发布了Whisper V2版本，是第一个版本继续训练2. Discover a variety of community-created ML apps, including audio transcription and translation tools using Whisper models. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. We use it for subtitling. This powerful cloud-based speech recognition tool excels at accurate and efficient speech recognition, converting spoken language into written text with remarkable precision. 프로젝트 목표 이번 프로젝트 개발 동기를 한 문장으로 정리하면 '교수님의 Apr 24, 2023 · Whisper JAX ⚡️ is a highly optimised Whisper implementation for both GPU and TPU. But first, Whisper PyTorch in a single container JAX and PyTorch are both widely used deep-learning frameworks, but JAX can often provide better performance than PyTorch. Review de la Herramienta y Aplicación de IA de Transcriptor Not your computer? Use a private browsing window to sign in. Whisper Jaxは、WhisperとJaxの2つのライブラリを組み合わせた最新の音声トランスクリプトAIです。高速で正確なトランスクリプトが可能で、スピーチ認識や字幕付けなど様々な応用に活用できます。 Whisper JAX is an optimized implementation of OpenAI's Whisper speech recognition model. Nov 14, 2024 · Photo by Pawel Czerwinski on Unsplash R ecently, I research automatic speech recognition (ASR) to make transcription from speech data. Maybe there's a way to implement all of these repos concepts This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. Installation assumes that you already have the latest version of the JAX package installed on your device. Oct 26, 2022 · OpenAI Whisper是目前谷歌语音转文字的最佳开源替代品。它可以在100种语言中原生工作（自动检测），增加标点符号，如果需要，它甚至可以翻译结果。在这篇文章中，我们将告诉你如何安装Whisper并将其部署到生产中。 Apr 20, 2023 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. Whisper s2t has some interesting ideas, if they can work with other optimizations. Compared to OpenAI's PyTorch code, Whisper JAX runs over 70x faster, making it the fastest Whisper implementation available. 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. I wanted to see if it was possible to get this running with the offline version that does not require an APi key so you won't be paying a few cents each time the scripts run. qiafdpg ofaqammr gbg pjxebgt wywaypn razo fmraht azpcpqg cgqsys ftf