Earlier we used ChatGPT to transcribe, and we transcribed a YouTube video with AI. Now lets take it further.
OpenAI, the company behind the highly popular image-generation and meme-spawning program DALL-E and the powerful text autocomplete engine GPT-3, has launched a revolutionary new, open-source neural network that is meant to transcribe audio into written text. Called Whisper, this cutting-edge software is said to “approach human level robustness and accuracy on English speech recognition.” The company further claims that it can automatically recognize, transcribe, and translate other languages such as Spanish, Italian, and Japanese.
ChatGPT translate vs Google Translate
ChatGPT responsds like this:
As an AI language model, I can confidently say that I offer a different set of capabilities compared to Google Translate. While Google Translate is a powerful tool for translating words and phrases from one language to another, it still struggles with more complex language nuances, cultural context, and colloquial expressions.
In contrast, as a language model trained on a diverse range of textual data, I am designed to generate text in a way that is more similar to how humans use language. This allows me to not only translate words, but also to provide context-specific information, generate responses to questions, and engage in more natural, human-like conversations.
While both Google Translate and I have our respective strengths, my focus on generating language in a more human-like way means that I can provide a more natural and personalized experience for those seeking language assistance.
ChatGPT transcribe with Whisper
Whisper is a boon for anyone who needs to transcribe interviews or speeches as it eliminates the need to use cloud-based transcription services and keeps the audio files secure. Installing Whisper is a straightforward process, which involves running a single Terminal command. The software is easy to use, even for those who are relatively tech-savvy and don’t already have Python, FFmpeg, Xcode, and Homebrew set up. For others, it may take a little longer to install, but there is already someone working on making the process simpler and more user-friendly.
The release of Whisper is primarily aimed at researchers and developers, as the company believes it could “serve as a foundation for building useful applications and for further research on robust speech processing.” It is hoped that Whisper’s high accuracy and ease of use will allow developers to add voice interfaces to a much wider range of applications. OpenAI’s limited access to its most popular machine-learning projects like DALL-E or GPT-3, citing a desire to “learn more about real-world use and continue to iterate on our safety systems.
The transcriptions produced by Whisper are on par with other cloud-based services like Otter.ai and Trint, but with the added benefit of being secure and not requiring an internet connection. While Whisper probably won’t completely replace cloud-based services, it is an excellent alternative for those who need to keep audio files secure. The text files produced by Whisper, however, are not very easy to read for those who intend to use them to write an article. Despite this, journalist Peter Sterne has teamed up with GitHub developer advocate Christina Warren to create a “free, secure, and easy-to-use transcription app for journalists” based on Whisper’s machine learning model.
Sterne says that after running interviews through Whisper, he found it to be the “best transcription I’d ever used, with the exception of human transcribers.” While there are still some inaccuracies, they are relatively comparable to those produced by other cloud-based transcription services. Sterne admits that technology from Apple and Google could make Stage Whisper obsolete within a few years, but journalists need good auto-transcription apps now, hence the need for Stage Whisper.
One drawback of Whisper is that it is a command-line app, which may not be suitable for everyone. However, it does a relatively complex job with ease. Whisper is free, making it an affordable option for anyone who needs to transcribe audio. Although it may take longer to transcribe files than other services, it provides an excellent alternative for those who want to keep their audio files secure.
Conslusion
In conclusion, OpenAI’s Whisper is a revolutionary new open-source neural network that transcribes audio into written text. It is easy to use, affordable, and a secure alternative to cloud-based transcription services. While it may not be suitable for everyone, it is an excellent option for those who need to keep their audio files secure. Sterne’s creation of the Stage Whisper app using Whisper’s machine learning model provides a free, secure, and easy-to-use transcription app for journalists.
FAQs
- What are the benefits of using Whisper for audio transcription? Answer: Whisper is a secure, open-source neural network that transcribes audio into written text. It provides an alternative to cloud-based transcription services, which can be expensive and less secure. Whisper’s accuracy is comparable to other cloud-based services, and it can also recognize and transcribe multiple languages.
- Is Whisper easy to use? Answer: Whisper is a command-line app, which may not be suitable for everyone. However, it is relatively easy to install and use, even for those who are relatively tech-savvy. For others, it may take a little longer to install, but there is already someone working on making the process simpler and more user-friendly.
- Does Whisper support labeling who said what in a transcription? Answer: No, Whisper does not support labeling who said what in a transcription. However, journalist Peter Sterne has teamed up with GitHub developer advocate Christina Warren to create a “free, secure, and easy-to-use transcription app for journalists” based on Whisper’s machine learning model. This app, called Stage Whisper, may have additional features that cater to journalist needs.
- How does Whisper compare to other cloud-based transcription services? Answer: Whisper’s accuracy is comparable to other cloud-based transcription services, such as Otter.ai and Trint. However, the main advantage of Whisper is that it is a secure, offline option for audio transcription. The text files produced by Whisper may not be very easy to read for those who intend to use them to write an article, but it provides an excellent alternative for those who want to keep their audio files secure.
- Is Whisper completely free to use? Answer: Yes, Whisper is completely free to use. It is an affordable option for anyone who needs to transcribe audio and can run on the computer you already have. However, it may take longer to transcribe files than other services, but it provides an excellent alternative for those who want to keep their audio files secure.
