Pip install whisper Whisper는 음성 인식하여 텍스트로 변환해주는 기능을 하는데요. At its simplest: mlx_whisper audio_file. en模型通常表现更好，尤其是对于tiny. 但是，whisper安装时，自带的pytorch可能有些bug，因此需要卸载重装： 卸载： pip uninstall torch. Size Parameters English-only model Multilingual model Required VRAM pip install whisper-normalizer Copy PIP instructions. The codebase Installing Whisper on Windows 10/11. Step 3: Verify Installation. 9. See more Learn how to install Whisper, a multimodal transformer model for text and speech, without internet connection. To see them all, run mlx_whisper -h. This guide walks you through the step-by-step installation process. ones loaded with stable_whisper. All are installed with Python’s pip. tar. transcribe ('audio. We’ll be using the pip package manager for this, so make sure you have that installed, but you should if you’re a Python user. 13 nor provides a source dist, so you'll have to settle for Python 3. Next, type in openai-whisper, and then hit enter. gz (792 kB) 中略 Successfully installed MarkupSafe-2. After installation, it’s a good practice to verify that the packages are installed correctly. That way, if for whatever reason you already have Whisper on your computer, that will upgrade it to the latest version. mp4 mv input. Il fonctionne nativement dans 100 langues (détectées automatiquement), il ajoute la ponctuation, et il peut même traduire ctranslate2 doesn't have wheels for Python 3. This implementation is up to 4 times faster than openai/whisper for the same accuracy while using less memory. Github上的安装说明—— We used Python 3. 12. All it takes is five simple lines of code! You can create Use with Faster-Whisper: pip install -U stable-ts[fw] Refinement is slower on Faster-Whisper models than on vanilla models (i. 12; Activate the virtual env; run uv pip Run pip install whisper-mic; Available models and languages. To get the best OpenAI Whisper is the best open-source alternative to Google speech-to-text as of today. Reply reply このbatファイルのショートカット作成して任意の場所(例えば、C:\ProgramData\Microsoft\Windows\Start Menu\Programs)に保存する。 ショートカット名をwhisper OpenAIなどに変更して、 Windowsキー-->whisperと入力-->Enter で簡単に呼び出せるようにしている。 OpenAI Whisper est la meilleure alternative open-source à la synthèse vocale de Google à ce jour. Installing Whisper prerequisites. 另外，需要通过choco安装ffmpeg库。先通过 管理员权限的PowerShell 安装 pip install whisper-timestamped Copy PIP instructions. whl. en模型，差异变得不那么显著。此外，turbo模型是large-v3的优化版本，在最小程度降低准确率的同时提供更快的转录速度。 Time-Accurate Automatic Speech Recognition using Whisper. en和medium. There are five model sizes, four with English-only versions, offering speed and accuracy tradeoffs. Run the following command in your terminal or command prompt. OpenAI的语音识别模型Whisper，Whisper 是一个自动语音识别（ASR，Automatic Speech Recognition）系统，OpenAI 通过从网络上收集了 68 万小时的多语言（98 种语言）和多任务（multitask）监督数据对 Whisper 进行了训练。 OpenAI 认为使用这样一个庞大而多样的数据集，可以提高对口音、背景噪音和技术术语的识别能力。 All you have to do is download the open-whisper library, choose a model, and get transcribing. 9 and PyTorch 1. To install Whisper: All you need is Python (env) PS C:\xxx> py -m pip install -U openai-whisper Collecting openai-whisper Using cached openai-whisper-20230314. load_faster_whisper ('base') result = model. A python package for whisper normalizer. The installation steps for Linux should be almost exactly the same, as once you have Python installed and set up, the rest are just packages built on top of it. en和base. cn/simple --default-timeout=600 安装方式基本同Whisper，但不需要安装 Rust 和 PyTorch（应该），前面的步骤请参考上文，到安装whisper这步时： 使用 pip install -U whisper-ctranslate2 安装whisper-ctranslate2前端。此时pip会自动安装依赖 pip install whisper whisper --model=tiny input. tar. Project description ; Release history ; Download files ; Verified details These 语音识别whisper的介绍、安装、错误记录，介绍Whisper是OpenAI于2022年9月份开源的通用的语音识别模型。 它是在各种音频的大型数据集上训练的模型，也是一个可以执行多语言语音识别、语音翻译和语言识别的 pip install -U openai-whisper This command ensures that you have the latest version of the Whisper library, which includes all the necessary features and updates. Details for the file pywhispercpp-1. If running tensorrt backend follow O OpenAI Whisper é a melhor alternativa de código aberto ao Google speech-to-text a partir de hoje. Follow the steps to set up Python, PyTorch, FFmpeg, Chocolatey and CUDA (optional). Learn how to install, use, and customize Whisper with Python and command-line tools. You can do this by running the following commands in your 本文将详细介绍如何在 Windows 系统上部署 Whisper，利用 GPU 加速音频转录，并探讨 Whisper 的基本使用方法和支持的音频格式。 使用体验：直接用cpu（i7-12700）跑small模型，6分钟的音频也大概只要3分钟，除了极个别语速很快的时候的语气词没识别出来，其他 . Install Whisper. mp4. Below are the names of the available models and their approximate memory requirements and relative speed. pip install openai-whisper This installs Whisper and its Learn how to install Whisper AI, a speech-to-text model by OpenAI, using pip or GitHub. faster-whisper is a reimplementation of OpenAI's Whisper model using CTranslate2, which is a fast inference engine for Transformer models. mp3 This will make a text file audio_file. mp4 # plays with subtitles now. Learn how to install and use Whisper, a speech recognition tool, locally on your system. gz (800 kB) 하지만 유료 구독을 하거나 사용량이 한정되어 있는데요. File details. tsinghua. Getting Started. In a terminal window run the following # 仮想環境の作成（オプション） python-m venv whisper_env source whisper_env / bin / activate # Linuxの場合 whisper_env \ Scripts \ activate. 오늘은 무료로 사용할 수 있는 OpenAI의 음성 인식 모델 Whisper(휘스퍼) 설치 방법을 알아보겠습니다. 使用whisper，还需安装setuptools-rust： pip install setuptools-rust. Unfortunately, entering of step “pip install openai-whisper” was interrupted unsuccessfully showing: Collecting openai-whisper Downloading openai-whisper-20240930. The Whisper project can be found on OpenAI’s GitHub as Whisper. . File metadata Install whisper-live from pip; pip install whisper-live Setting up NVIDIA/TensorRT-LLM for TensorRT backend. Please follow TensorRT_whisper readme for setup of NVIDIA/TensorRT-LLM and for building Whisper-TensorRT engine. WhisperX. It works natively in 100 languages (automatically detected), it adds punctuation, and it can even translate the result if needed. Use pip to install Whisper. en模型。我们观察到，对于small. Overview. edu. Follow the step-by-step instructions to transcribe audio files with Whisper using command line or Python. vtt vlc input. pip install openai-whisper. Navigation. 7 charset-normalizer pip install mlx-whisper Run CLI. vtt input. load_model()) model = stable_whisper. Little did I know, pip Learn how to use OpenAI Whisper, a free and open-source speech transcription tool, in Python. Released: Nov 25, 2024 Multi-lingual Automatic Speech Recognition (ASR) based on Whisper models, with accurate word timestamps, access to language detection confidence, several options for Voice Activity Detection (VAD), and more. manylinux2014_i686. 10. Funciona nativamente em 100 línguas (detectado automaticamente), acrescenta pontuação, e pode mesmo traduzir pip install -U openai-whisper -i https://pypi. 0: result = model. Whisperは，音声からの文字起こしや翻訳に使用されるモデルである．このページで説明するWhisperのインストール（Windows）および動作確認手順に従い，Pythonプログラムを使用して実行することができる．FFmpegをインス Whisper是OpenAI于2022年发布的一个开源深度学习模型，专门用于语音识别任务。它能够将音频转换成文字，支持多种语言的识别，包括但不限于英语、中文、西班牙语等。Whisper模型的特点是它在多种不同的音频条件下（如不同的背景噪声水平、说话者的口音、语速等）都能实现高准确率的语音识别，这 OpenAI Whisper をインストールする手順を紹介します。概要音声ファイルからしゃべっている内容をテキストで出力するWhisperアプリケーションをインストールします。事前準備Pythonをインストールします。今回 To install it, type in pip install, and here I'll type in a dash u. This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization. There are many other supported command line options. See examples of transcribing audio files and using Whisper models in Python. See how to install, load, transcribe, and process Whisper models for audio files and language detection. The server supports two backends faster_whisper and tensorrt. cpp. But remember, Whisper models are massive and use top-of-the-line deep learning and transformer models. pip install ffmpeg-python conda install -c conda-forge ffmpeg Using Whisper to transcribe audio. Whisper is great, and the tiny model can mostly do the job and still run on CPU in real time. pip install setuptools-rust Whisperをインストール Whisperパッケージをインストールするために、以下のコマンドを実行してください。 Whisper. Install uv; Go to a project directory where you want to use faster-whisper; Run uv venv --python 3. Make sure to check the official Installing Whisper. First, we need to install Whisper. e. 3. pip Use the following command to install it via pip: This command will download and install the OpenAI Whisper library along with its dependencies. After that, the pip command started working. 12. js, and so I created a directory and cd into it, run pip from there, and expected whisper to install into the current directory. tuna. 8-3. com / openai / whisper 针对仅英语应用的. Whisper is one of three components within the Graphite project: Graphite-Web, a Django-based web application that renders graphs and dashboards; The Carbon metric processing daemons; The Whisper AI is a powerful speech-to-text model by OpenAI that allows for high-quality transcription. 重装： pip install torch. 18. 1 to train and test our models, but the codebase is expected to be compatible with Python 3. bat # Windowsの場合 # 必要なライブラリのインストール pip install numpy torch # Whisperのインストール pip install git + https: // github. mp3') # For versions < 2. Released: Mar 2, 2025. txt with the results. Learn how to install OpenAI Whisper, a speech recognition library, on different platforms and environments. 10 and recent PyTorch versions. transcribe_stable After that, the pip command started working. Use -f to specify the output format and --model to specify the model. 2 certifi-2022. See the requirements, steps, errors and comments from other users on GitHub. 1. Step 1: Install Python Whispe 安装OpenAI Whisper. 서버에 접속하는 클로드, 챗gpt, 제미나이와 다르게 내 컴퓨터에 설치하여 사용할 수 있는 오픈소스입니다. Whisper is a general-purpose speech recognition model that can perform multilingual speech recognition, speech translation, and language identification. eeosyqxspnetfvoxsjsmkqwgqtuccfnnwnlatqxhwtnodcyifbmzpziewbgxtqsdiucaplqhtlvr