What is Whisper?
It 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 tool in the Speech Recognition Tools category of a tech stack.
Whisper is an open source tool with 22.4K GitHub stars and 2.2K GitHub forks. Here’s a link to Whisper's open source repository on GitHub
Who uses Whisper?
Developers
7 developers on StackShare have stated that they use Whisper.
Whisper Integrations
Whisper's Features
- Automatic speech recognition
- Trained on a large dataset of diverse audio
- Multi-task model
- Can perform multilingual speech recognition
- Can perform speech translation and language identification
Whisper Alternatives & Comparisons
What are some alternatives to Whisper?
Kaldi
It is a state-of-the-art automatic speech recognition toolkit. It is intended for use by speech recognition researchers and professionals.
Botium Speech Processing
It is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
Deepspeech
It is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Speechly
It can be used to complement any regular touch user interface with a real time voice user interface.
It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
wav2letter++
wav2letter++ is a fast open source speech processing toolkit from the Speech Team at Facebook AI Research. It is written entirely in C++ and uses the ArrayFire tensor library and the flashlight machine learning library for maximum efficiency. Our approach is detailed in this arXiv paper.
Related Comparisons
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