Pip install whisperx For trimming the original video into a chosen clip, refer to the clipping reference. **获取可执行文件**： Fork: 1523 Star: 14067 (更新于 2025-02-24 13:49:20) license: BSD-2-Clause To enable Speaker Diarization, include your Hugging Face access token (read) that you can generate from Here after the --hf_token argument and accept the user agreement for the following models: Segmentation and Speaker-Diarization-3. Note As of Oct 11, 2023, there is a known issue regarding pip install whisperx results in installation of torch >2. 5. Move some arguments from load_model I tried to follow the instruction for use the whisperX in my python code but I have compatibility issues during the dependency installation. 1 Cloning the Repository. You signed out in another tab or window. . Advanced Installation Options. These tools are necessary for installing some of WhisperX's dependencies. You may also need to install ffmpeg, rust etc. The efficiency can be further improved with 8-bit quantization on Robust Speech Recognition via Large-Scale Weak Supervision - openai/whisper $ pip install transformers>=4. 5k次，点赞6次，收藏12次。WhisperX 是一个开源的自动语音识别（ASR）项目，由 m-bain 开发。该项目基于 OpenAI 的 Whisper 模型，通过引入批量推理、强制音素对齐和语音活动检测等技术。提供快速自动语音识别（large-v2 为 70 倍实时），WhisperX 的核心技术包括：批量推理：利用后端，实现了 # whisperxモジュールから必要な関数やクラスをインポート import whisperx # 時間の計算に使用するためのtimedeltaクラスをインポート from datetime import timedelta # 進捗バーの表示に使用するtqdmモジュールをインポート from tqdm import tqdm # 使用するデバイス（GPU）を指定 device = " cuda " # 入力となる音声 pip install speechrecognition pip install pyannote. Python 3. com; Run pip install modal to install the modal Python package; Run modal setup to authenticate (if this doesn’t work, try python -m modal setup) Copy the code below into a file called app. This is where things might get a bit complicated; it's highly suggested to take a look at the installation instructions on the WhisperX project page and follow them step by This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization. wav2vec 2. I'm creating a python env with: python3. 文章浏览阅读7. The Whisper model is designed to convert spoken language into written text efficiently. git $ cd whisperX $ pip install -e . ). Ensure that your internet connection is stable during this process. Purpose: These instructions cover the steps not explicitly set out on the Te doy una cordial bienvenida a mi proyecto relacionado con WhisperX. Run pip install numpy; In this article we setup the S3 bucket and EC2 instance that has WhisperX installed and treat the S3 bucket as an input and output storage. pip install gradio==5. To enable Speaker Diarization, include your Hugging Face access token (read) that you can generate from Here after the --hf_token argument and accept the user agreement for the following models: Segmentation and Speaker-Diarization-3. 然后再将下载完成的whl运行 pip install &#34;&lt;whl文件路径&gt;&#34; 该步下载的有三：torch、torchvision和torchaudio。只有torch在带CUDA时会体积庞大。 只有torch在带CUDA时会体积庞大。 In Windows, run the whisper-gui. I haven’t (yet) tried working with it directly embedded in a script as I have just been calling it using subprocess (the reason why I needed it to be compatible with numpy2 was so that I could include my whole application in a single python package) Demos 🚀 If you don't have access to your own GPUs, use the link above to try out WhisperX. load_audio(audio_file) device = "cuda" compute_type = "float16" # change to "int8" if low on GPU mem (may reduce Installation Steps. faster-whisper is a reimplementation of OpenAI's Whisper model using CTranslate2, which is a fast inference engine for Transformer models. 5. 04 Codename: jammy Expected Behavior: WhisperX. Download URL: whisperx-3. m-bain/whisperX: 是一个用于实现语音识别和语音合成的 JavaScript 库。适合在需要进行语音识别和语音合成的网页中使用。特点是提供了一种简单、易用的 API，支持多种语音识别和语音合成引擎，并且能够自定义语音识别和语音合成的行为。 Colab should have enough VRAM for any model selected on any GPU provided, including large - expect ~13G of VRAM usage for large model. Access to a supported data warehouse if you plan to integrate with data storage solutions. In Linux / macOS run the whisper-gui. pip install whisperx. This guide will provide you with detailed steps to achieve this. Released: May 3, 2024 No project description provided. Reload to refresh your session. I'm not really sure how the get this to work, been trying for ages now. py，与GRU相比，对网络 WhisperX This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization. Step 3: Verify Installation conda create --name whisperx python=3. With your environment activated, you can now install the OpenAI Whisper library. Suivez les étapes ci-dessous pour configurer votre environnement et commencer à utiliser WhisperX facilement. It pip install gradio==5. A compatibility fix to allow whisperx to work with other packages To run youwhisper-cli, you need yt-dlp and either Whisper or WhisperX installed. Whisper is designed to convert spoken language into written text seamlessly. In a terminal window run the following command: pip install -U openai-whisper. 2 After this is done, you should be able to run this in Python: WhisperX and Speaker Diarization Speaker diarization is a technique in natural language processing and automatic speech recognition that identifies and separates different speakers in an audio recording. WhisperX allows for extensive configuration to tailor the speech recognition process to your needs. 0 before the "pip install whisperx" in the description. 0 pytorch-cuda=11. e. Next, we need to install whisperX repository. 1-c pytorch -c nvidia pip install python-dotenv moviepy openai-whisper accelerate datasets [audio] pip install numpy == 1. 1 405B Into Production on GCP Compute Engine Creating A Semantic Search Model With Sentence Transformers For A RAG Application How to Install and Deploy LLaMA 3 Into Production? GPT-4 and ChatGPT Open-Source Alternatives: LLaMA 3 and Mixtral 8x7b How to Build a Chatbot with Generative Models like PIP 之前的文章我有推荐，在我们使用Python环境的时候，使用Anaconda是最好的，因为Anaconda已经集成好了大多数常用的第三方库，方便我们直接使用。但是如果我们想要使用我们机器上并没有的呢？ 这个时候我们就要工具来安装第三方的库了。这里我们使用最常用的PIP来安装第三方库。 !pip install whisperx import whisperx import gc device = "cuda" batch_size = 4 # reduce if low on GPU mem compute_type = "float16" # change to "int8" if low on GPU mem (may reduce accuracy) audio_file = "audio. x, then you will be using the command pip3. 0 in To enable Speaker Diarization, include your Hugging Face access token (read) that you can generate from Here after the --hf_token argument and accept the user agreement for the following models: Segmentation and Speaker-Diarization-3. WhisperX是一款基于Whisper的开源自动语音识别工具，通过强制音素对齐和语音活动批处理技术，实现了高达70倍实时的转录速度。它提供精确的单词级时间戳和说话人分离功能，适用于长音频的高效转录和分析。WhisperX在保持高转录质量的同时，显著提升了时间戳的准确性，为音频处理领域带来了新的 Example code for running the WhisperX speech recognition model on Modal. 35. I'm running this inside the conda environment. A lot of this Python (and Python on Windows) is newer to me. To get started, you will need to import the required packages and define a function that utilizes To enable Speaker Diarization, include your Hugging Face access token (read) that you can generate from Here after the --hf_token argument and accept the user agreement for the following models: Segmentation and Speaker-Diarization-3. wav and transcribe it using the transcribe() function: 基于python的中文语音识别系统. 0. Vous pouvez maintenant utiliser A simple GUI to use WhisperX on Windows. bat file. Open your terminal and run the following command: pip install whisperx Verify Installation: After installation, verify that Open your terminal and run: This command will download and install WhisperX along with its dependencies. Verify that torch is upgraded (e. To enable Speaker Diarization, include your Hugging Face access token (read) that you can generate from Here after the --hf_token argument and accept the user agreement for the following models: Segmentation and Speaker 出现无法使用cuda的情况，官方项目Issue里也有人遇到，没能解决，看了下代码，应该是环境配置里gpu_support被设置为None了 pip install gradio==5. This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization. add basic installation test flow & restrict python versions by @Barabazs in #965; pip compliance for git+ installs by @spbisc97 in #603; txt usage: whisperx [-h] [--model MODEL] [--model_dir MODEL_DIR] [--device DEVICE] [--device_index DEVICE_INDEX] [--batch_size BATCH_SIZE] [--compute_type {float16 通过 pip 安装 WhisperX： pip install whisperx. This guide can also be found at Whisper Full (& Offline) Install Process for Windows 10/11. These installation methods are for developers or users with specific needs. 1 (if you choose to use Speaker-Diarization 2. To run the following code, you will need to: Create an account at modal. We will also cover the steps required to set up the Whisper X library and load the required models. If you installed Python 3. Installed it almost 1:1 to the page says as closely as possible, only thing I modified is I forced ctranslate to be down and it loaded and works normally for my case, reinstalled WSL2 multiple times, and even tried switching distros, very odd indeed! You signed in with another tab or window. 2. I'm getting the following errors: > pipx install whisperx Fatal error from pip prevented To install WhisperX, you will need to use pip. g. 如果你的计算机支持 GPU，确保已安装 CUDA 和 PyTorch 以便充分利用硬件加速： pip install torch torchvision torchaudio 4. 1-c pytorch-c nvidia # 安装 WhisperX pip install whisperx. Contribute to xuede/whisperX-gui development by creating an account on GitHub. Whisper Run pip3 install openai-whisper in your command line. I’ve created a custom script to streamline Whisper installation on Ubuntu. It offers improved timestamp accuracy, speaker diarization, and faster transcription speeds. new() got an unexpected keyword argument 'max_new_tokens' Anyone has an idea how to fix this or has similar issues? Problem Solved: Change faster-whisper~=0. be/KtAFU_xeHr4 Download files. Contribute to VR-13/WhisperX development by creating an account on GitHub. The recommended package manager is pip, which is also included with The easiest way to install WhisperX is through PyPi: Or if using uvx: 2. Source Distribution Step 2: Install OpenAI Whisper. 18. 8：3、安装此repo4、Speaker Diarization三、使用💬（命令行）1、English2、他语言例如德语四、Python使用🐍五、Demos 🚀六、技术细节👷‍♂️七、限制⚠️_whisperx conda install pytorch torchvision torchaudio pytorch-cuda=12. Note As of Oct 11, 2023, there is a known issue regarding python -m venv env source env/bin/activate pip install openai pip install python-docx Once your environment is set up, you can start transcribing audio files. This provides word-level timestamps, as well as improved segment timestamps. I'm going to be using the pip install method. Once installed, use Whisper to transcribe audio files. 先前經朋友介紹看了這部影片認識了 Whisper，覺得對自己做字幕會很有幫助。 但苦於個人電腦太過老舊，沒有辦法本機執行。剛好又認識到了 Google Colab 這個線上的執行環境，想寫一下如何合併兩者，在線上讓 Whisper AI 聽寫字幕或是逐字稿的方法。. Open your terminal and clone the repository: pip install whisperx Verify Installation: After installation, verify that WhisperX is installed correctly by running: python -m whisperx --version This command should return the version number of WhisperX, confirming that the installation was successful. The script is available in my GitHub repository for Installation Scripts for Generative AI Tools. 8k次，点赞2次，收藏20次。该文详细介绍了在Windows10系统中如何部署WhisperX，包括安装Python、CUDA、Anaconda、ffmpeg，创建和激活虚拟环境，以及安装和升级WhisperX库。接着展示了如何使用WhisperX进行语音识别，并提供了一个封装后的代码示例，用于提高效率。 pip install whisperx==3. Run the following command in your terminal: pip install --upgrade openai This command will install the latest version of the OpenAI Python library, which includes Whisper functionality. 0; With these steps, you will have manually configured WhisperX in your conda environment. So basically you have the pip To set up WhisperX for offline speech recognition, you need to ensure that your environment is properly configured and that all necessary dependencies are installed. env contains definition of Whisper model using WHISPER_MODEL (you can also set it in the request). Use the following command to install WhisperX: pip install whisperx Import the Library: In your Python script, import WhisperX to access its functionalities: import whisperx Configuring WhisperX for Your Application. 11-m venv whisperx cd $_ # pip install whisperx 2. 0 Copy PIP instructions. This repository refines the timestamps of openAI's Whisper model via forced aligment with phoneme-based ASR models (e. こちらの動画を見たので日本語でも試してみました。普通に動きますね。 https://youtu. 10. Installation Using the Script. py . pip. This can be done by following the instructions here. Note As of Oct 11, 2023, there is a known issue regarding Once set up, you can just run whisper-gui. py中，包括： 增加了基于科大讯飞DFCNN的CNN-CTC结构的中文语音识别模型cnn_ctc_am. We also introduce more efficient batch inference resulting in large-v2 with 60-70x REAL TIME speed. If you installed Python via Homebrew or the Python website, pip was installed with it. I'm getting the following errors: Fatal error from pip prevented installation. Install the latest development version directly from GitHub (may be unstable): If already installed, update to the most recent commit: If you wish to modify the package, clone This repository provides fast automatic speech recognition (70x realtime with large-v2) with wor •⚡️ Batched inference for 70x realtime transcription using whisper large-v2 •🪶 faster-whisper backend, requires <8GB gpu memory for large-v2 with beam_size=5 •🎯 Accurate word-level timestamps using wav2vec2 alignment This tutorial will guide you through installing and using WhisperX, an enhanced version of OpenAI's Whisper. I seem to be hitting this as well. en per original paper. WhisperX 是一个开源的自动语音识别（ASR）项目，由 m-bain 开发。 该项目基于 OpenAI 的 Whisper 模型，通过引入批量推理、强制音素对齐和语音活动检测等技术。 提供快速自动语音识别（large-v2 为 70 倍实时），具有单词级时间戳和说话人分类。 WhisperX 的核 pip install whisperx-numpy2-compatibility Copy PIP instructions. Whisper Full (& Offline) Install Process for Windows 10/11. With WhisperX, you can automatically transcribe audio files, such as interviews and CVR/ATC recordings (although we have I'm trying to install the latest whisperx 3. 0 torchaudio==2. 0 (if you choose to use Speaker-Diarization 2. env contains definition of logging level using LOG_LEVEL, if not defined DEBUG is used in development and INFO in production. Open your terminal and run: pip install whisperx This command will download and install WhisperX along with its dependencies. 0 via pipx or uv. To reduce GPU memory requirements, try any of the following (2. After the process, it will run the GUI in a new browser tab. For example, if you plan to use WhisperX with audio processing, consider installing numpy and scipy: pip install numpy scipy python -m venv env source env/bin/activate pip install openai pip install python-docx Once your environment is set up, you can begin the transcription process. wav2vec2. 1; Instalar o WhisperX: Finalmente, instale o WhisperX usando o seguinte comando pip install whisperx==3. I'm running pyenv via PowerShell. tensors used as indices must be long, int, byte or bool tensors #1048 opened Feb 15, 2025 by 5arer. 0; Con estos pasos, habrás configurado manualmente WhisperX en tu entorno de conda. wav" audio = whisperx. In the following example, we load an audio file called example. You switched accounts on another tab or window. Note As of Oct 11, 2023, there is a known FROM runpod/pytorch:cuda12 # Set the working directory in the container WORKDIR /app # Install ffmpeg, vim RUN apt-get update && \ apt-get install -y ffmpeg vim # Install WhisperX via pip RUN pip install --upgrade pip && pip install --no-cache-dir whisperx # Copy your Python script into the container COPY script. 10环境2、安装PyTorch，例如Linux和Windows CUDA11. Agora você está pronto para usar a interface web do WhisperX e aproveitar seus recursos de processamento de áudio. It is also advisable to use a Python virtual environment to manage dependencies cleanly. The -U flag in the pip install -U openai-whisper command stands for --upgrade. Here are some key parameters you can adjust: WhisperX is an advanced speech recognition and transcription tool that extends OpenAI's Whisper model. 部分音檔可能需要格式轉換才能與模型兼容，這時可以使用pydub進行格式轉換。以下是一個將MP3格式音檔轉換為WAV格式的Python程 Now WhisperX does some additional steps on top of the normal transcription using Whisper. 0). 0) and VAD To set up WhisperX for speech recognition, begin by ensuring that you have the necessary dependencies installed. Ahora When running pip install whisperx it installs torch without cuda enabled. Installation pip install soundfile numpy Using WhisperX for Speech Recognition. If you're not sure which to choose, learn more about installing packages. env contains definition of environment 注意事項この記事は自分用メモに公開していますが、書きかけもいいところです。導入までてこずっているのもあって、無茶苦茶を書いてしまっていると思います。追記するまで暖かい目で見守っていてください 文章浏览阅读1. This includes the WhisperX library itself, which can be installed via pip. , using pip show torch), confirming that version 2. Your transcriptions will be saved by default in the outputs folder of the repo. 0; Com esses passos, você terá configurado manualmente o WhisperX em seu ambiente conda. 9. sh/) ''' brew install ffmpeg ''' on Windows using This repository provides fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization. Install yt-dlp (via pip) pip install yt-dlp. COPY audio. 8. 11. 1. 10 -m venv venv Upgrading pip with: pip install --upgrad 介绍. 5, 3. 6. Installation Steps Install WhisperX: You can install WhisperX using pip. Once you have installed WhisperX, you can start using it for speech recognition tasks. 4460. Note As of Oct 11, 2023, there is a known issue regarding Installing Whisper. I hacked this fairly up fairly quickly so feedback is welcome, and it's worth playing around with the hyperparameters Abstract: In this article, we explore how to use WhisperX, an open-source speech recognition library, for speech diarization with the help of the Julius speech recognition engine. So let's have a quick look at how this works. Yup, ‘import whisperx-numpy2-compatibility as whisperx’ should do the job. Hi! I'm trying to install the latest whisperx 3. If you're not sure, stick with the simple installation above. py; Run keyboard_arrow_down Get SRT Subtitle File Saved using WhisperX (Change the language) [ ] in . After installation, you need to configure WhisperX to work with your audio input. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company 2. Here’s how to set it up: Import the Library: Start The easiest way to install WhisperX is through PyPi: pip install whisperx. Tip: If you want to use just the command pip, instead of pip3, you can symlink pip to the pip3 binary. 11, 3. However, whisperX is no longer maintained frequently so far. System Information: lsb_release -a No LSB modules are available. 1. Latest version. First, we need to install Whisper. pip install openai-whisper. Run the following command in your terminal: pip install whisperx Configuration. Released: Nov 22, 2024 A compatibility fix to allow whisperx to work with other packages that require numpy>2. pip install whisper. 0-py3-none-any. TypeError: TranscriptionOptions. Now you are ready to use the WhisperX web interface and take advantage of its audio processing capabilities. 我尼玛，3毛一分钟还是太贵了，本就不富裕的家庭看了都落泪。激动的我在床上翻了一个身，决定继续百度。 WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization) - m-bain/whisperX. 6 Copy PIP instructions. If you're $ git clone https://github. 3 音檔格式轉換. 使用 WhisperX 进行语音识别. pip install numpy==1. Repo will be updated soon with this efficient Begin by installing the WhisperX package. 1 -c pytorch -c nvidia pip install python-dotenv moviepy openai-whisper accelerate datasets[audio] pip install numpy==1. 12. 0 is installed. ```python !pip install whisperx ``` Next, you can import the WhisperX Py library and load an audio file for transcription. Newer version available (3. 26. 1) Released: Jan 1, 2025 Time-Accurate Automatic Speech Recognition using Whisper. This release has been yanked. com/m-bain/whisperX. Good evening. Thus, we use the forked repository called Transcribing is done with WhisperX, an open-source wrapper on Whisper with additional functionality for detecting start and stop times for each word. x, follow requirements here instead. Solo tienes que seguir las indicaciones que te proporcionaré a continuación, y comprobarás lo fácil que es. 0 #1051 opened Feb 17, 2025 by ymednis. Navigation. 1 torchaudio== 2. Follow the instructions and let the script install the necessary dependencies. 1 torchvision== 0. 就完事，它还需要一些依赖。比如 ffmpeg 、pytorch等。本文没涉及python的安装，默认读者是已经安装好python的，如果你不会安装python的话，建议去视频平台搜索安装教程，安装好后再来进行下面的步骤。 步骤1. 04. Alternatively, you may use any of the following commands to install openai, depending on your concrete environment (Linux, Ubuntu, Windows, macOS). Here’s a basic example of how to transcribe audio files: conda install pytorch torchvision torchaudio pytorch-cuda = 12. 音声データ データどうしよう 話者区別機能（話者ダイアライゼーション）を確認したいのですが、当方そういうデータを持ち合わせておりません。 shi3zさんから有り難いお言葉いただきました。 Download files. 7k次，点赞7次，收藏19次。一、关于 WhisperX新闻 🚨二、设置⚙️1、创建Python3. It segments the audio into parts based on 此处可能存在不合适展示的内容，页面不予展示。您可通过相关编辑功能自查并修改。 如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容，可点击提交进行申诉，我们将尽快为您处理。 You signed in with another tab or window. 5 MB; Tags: Python 3; Uploaded using Trusted Publishing? No pip install whisperx==3. 10 conda activate whisperx conda install pytorch==2. env you can define default Language DEFAULT_LANG, if not defined en is used (you can also set it in the request). Full pip output in file: Python Package Manager You will need a package manager to install WhisperX and its dependencies. 1; Install WhisperX: Finally, install WhisperX using the following command pip install whisperx==3. After Paper drop🎓👨‍🏫! Please see our ArxiV preprint for benchmarking and details of WhisperX. 1; Instalar WhisperX: Finalmente, instala WhisperX utilizando el siguiente comando pip install whisperx==3. 文章浏览阅读944次，点赞4次，收藏5次。WhisperX 项目安装和配置指南 whisperX m-bain/whisperX: 是一个用于实现语音识别和语音合成的 JavaScript 库。适合在需要进行语音识别和语音合成的网页中使用。特点是提供了一种简单、易用的 API，支持多种语音识别和语音合成引擎，并且能够自定义语音识别和语音 Pip for installing Python packages. 包含声学模型和语言模型两个部分组成，两个模型都是基于神经网络。 声学模型 - acoustic_model文件夹下 该项目实现了GRU-CTC中文语音识别声音模型，所有代码都在gru_ctc_am. 8 -c pytorch -c nvidia ''' on Ubuntu or Debian ''' sudo apt update && sudo apt install ffmpeg ''' on Arch Linux ''' sudo pacman -S ffmpeg ''' on MacOS using Homebrew (https://brew. 0, but the conda install is 2. 3. Should no longer be required once pull requests on the main package are accepted. com/openai/whisper#setup. We'll walk through the process of installing the required dependencies, importing the necessary modules, and configuring the settings for handling an MP3 file and converting text to unique Guide d'installation et d'utilisation de WhisperX Ce guide vous accompagne dans l'installation et l'utilisation de WhisperX, un outil de transcription audio et vidéo. 2. You signed in with another tab or window. Configuration. Source Distribution pip install whisperx-karaoke Copy PIP instructions. I'm using Windows 11 Home, OS build 22631. â ¡ï¸ Batched inference for 70x realtime transcription using whisper large-v2 Faster Whisper transcription with CTranslate2. Technical Details 👷‍♂️ For specific details on the batching and alignment, the effect of VAD, as well as the chosen alignment model, see the preprint paper. Prefer medium than medium. Project description ; Release history ; Download files ; Verified details These details have been verified by PyPI Maintainers darwintree . â ¡ï¸ Batched inference for 70x realtime transcription using whisper large-v2 To enable Speaker Diarization, include your Hugging Face access token (read) that you can generate from Here after the --hf_token argument and accept the user agreement for the following models: Segmentation and Speaker-Diarization-3. Si cuentas con un archivo de audio y deseas transformarlo en texto, te encuentras en el sitio adecuado. 3 LTS Release: 22. 1 pytorch-cuda= 12. The easiest way to install WhisperX is through PyPi: pip install whisperx. either whisperx or openai-whisper. The pip package manager installed for managing Python packages. First of all, you have your input audio. audio pip install torch pip install onnxruntime 3. Download the file for your platform. 无法负担的巨款. WhisperXの紹介動画. Released: Nov 6, 2024 Time-Accurate Automatic Speech Recognition using Whisper. Follow openAI instructions here https://github. Install WhisperX: Use the following command to install WhisperX via pip: pip install whisperx Install Additional Dependencies: Depending on your use case, you may need to install additional libraries. Distributor ID: Ubuntu Description: Ubuntu 22. Then WhisperX does voice activity detection on top of your original speech signal. pyenv is installed and I've tried Python version 3. Install i. Project description ; Release history ; Download files ; Verified details These details have been 文章浏览阅读278次，点赞4次，收藏4次。Whisper是由OpenAI开发的开源语音识别模型，以其著称。它通过68万小时的多语言、多任务数据训练，覆盖100+语言，支持语音转录、翻译和语言检测，成为目前最通用的语音识别工具之一。_语音识别本地化部署 python3. One is likely to work! 文章浏览阅读1. Here’s how: In this article, we will guide you through the installation process, which will involve creating a Python virtual environment and installing the necessary packages using PIP. Disconnect and reconnect if you change the model in the middle of execution(and only do so if you know what you are doing) to avoid VRAM OOM. **下载WhisperX**： - 访问WhisperX的GitHub页面，下载最新的发布版本。你可以在以下链接找到WhisperX的相关信息和下载地址： WhisperX GitHub [1]。 - 另外，可以通过Python包管理器pip安装WhisperX，使用命令：`pip install whisperx` [4]。 3. Ensure that pip is up to date by running the following command: pip install --upgrade pip Xcode Command Line Tools (MacOS only) If you are using MacOS, you will need to install the Xcode command line tools. sh file. mp3 . Or if using uvx: uvx whisperx. This implementation is up to 4 times faster than openai/whisper for the same accuracy while using less memory. It also install torch 2. bat and a terminal will open, with the GUI in a new browser tab. Repo will be updated soon with this efficient 本文详细介绍了如何在开发环境中部署和使用 OpenAI 的 Whisper，以及其增强版本 WhisperX，帮助你实现高质量的语音识别和转录功能。 库 conda install pytorch== 2. The first step is to pass your audio file to the audio API provided by OpenAI. WhisperX 提供了简单易用的 API，可以快速实现语音识别。下面是如何使用 WhisperX 进 Paper drop🎓👨‍🏫! Please see our ArxiV preprint for benchmarking and details of WhisperX. whl Upload date: Jan 1, 2025 Size: 16. Next, we need to install whisperX Hi, I've released whisperX which refines the timestamps from whisper transcriptions using forced alignment a phoneme-based ASR model (e. 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. Installing and Deploying LLaMA 3. ozknt gjrclzp bzt kzzhn fgqxn yff fzbwm fccpblp ifay yuge rdjekrz xvvly aqww zgyl cvwja