speech_recognition Whisper 流式输出 问一:为什么有了异步文件写入,同步文件写入,和简单文件写入(同步或者是异步),还需要有流式文件写入? 上传的写入文件的方式,都是1次性把文件的内容全部写入,如果文件过大,则存在以下问题: 写入速度慢 可能导致内存溢出 所有以上写入文件的大小都是小文件;所有需要用流式文件写入 ...
pip install git+https://github.com/openai/whisper.git To update the package to the latest version of this repository, please run: pip install --upgrade --no-deps --force-reinstall git+https://github.com/openai/whisper.git It also requires the command-line toolffmpegto be installed on your...
This plugin allows you to recognize speech in 99 languages, just by adding one component to your blueprint, without relying on any separate servers or subscriptions. The machine learning model used in this plugin is based onOpenAI's Whisper, but has been optimized to run on theONNX Runtime...
speechspeech-recognitionspeech-to-textwhisperasr UpdatedMar 5, 2025 Python PaddlePaddle/PaddleSpeech Star11.6k Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translat...
Lets explore how you can use Whisper models in SageMaker JumpStart. OpenAI Whisper foundation models WER and latency comparison The word error rate (WER) for different OpenAI Whisper models based on theLibriSpeech test-cleanis shown in the following table. WER is a c...
Whisper is a general-purpose speech recognition model. 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. ...
Whisper is a Transformer-based encoder-decoder model, also referred to as asequence-to-sequencemodel. It was trained on 680 thousand hours of labelled speech data annotated using large-scale weak supervision. Whisper models demonstrate a strong ability to generalize to ...
此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库:https://github.com/openai/whisper main 克隆/下载 git config --global user.name userName git config --global user.email userEmail 分支13 标签12 Jong Wook KimUpdate python-publish.yml517a43e4个月前 ...
but those aren’t good for major work that you don’t want to be tied to some closed-source solution. OpenAI has introducedWhisper, which they claim is an open source neural net that “approaches human level robustness and accuracy on English speech recognition.” It appears to work on at...
How to use OpenAI's Whisper Whisper from OpenAI is an open-source tool that you can run locally pretty easily by following a few tutorials. If you have a MacBook, there are some more convoluted steps to get it working, but it's not too bad, as you'll basically just need to compile...