Text to speech whisper mac download2/17/2024 ![]() You need to know that Whisper needs many resources. Since the demo is limited to 30 seconds, how can you make it run on your laptop? Sounds tricky?Īctually it is not that difficult. Whisper will automatically detect the language.īut if you want to, it can also translate the transcript to English!Īs you can see on the graph below, the WER ( Word error rate) is really low (low is good): Whisper is very efficient. If you want to test it before installing it, you may run a 30 second test on Hugging Face: Whisper is open-source so you can download its source code from GitHub. We are open-sourcing models and inference code to serve as a foundation for building useful applications and for further research on robust speech processing.” Moreover, it enables transcription in multiple languages, as well as translation from those languages to English. We show that the use of such a large and diverse dataset leads to improved robustness detection of accents, background noise and technical terms. “Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. Whisper is easy to install and to use and its results are remarkable. There are also many free and open-source tools, such as VOSK, but they are often cumbersome to install, they need some fine tuning and the results usually don't match your expectations. There are many API's and services that will help you for a small fee… as long as you don't have too many podcasts. Thanks to the Podcasting 2.0 initiative which proposed the Transcript tag, there are now over 25 (and counting…) services, apps and platforms that support transcripts (among them is Castopod which has been supporting the Transcript tag for nearly 2 years).Īs a podcaster, if your hosting plaform does not allow the transcript tag, it's time you moved to a Podcasting 2.0 platform that does.Īs a listener, if your podcast app does not show transcripts, it's time you opted for a new podcast app that does. And so much more: see the last paragraph to learn more about what we do with transcription at Ad Aures…Īre transcripts for podcasts a real thing?.Search engines will be able to understand what your podcast is really about and bring you more traffic and more listeners. Search engine indexing, searchability and SEO: with a searchable transcripted file your podcast is not “a collection of mp3 files with just a few metadata” anymore.Įventually, your audience will be able to search for some keywords within an episode, within a whole show or even among thousands of podcasts!.That's why a transcript, translated or in the original language, will make the podcast easier to follow. ![]() Reaching new audiences: your audience may speak a language different from the one spoken in the podcast.Translation: transcripts are easy to translate to other languages.Accessibility: it will make your podcast accessible to the deaf and the hard of hearing.It will improve your audience's experience a lot: There are many benefits to transcribing your podcast. That being said, we will use the “Transcription” term regardless of the purpose. A caption also embeds the timecodes for the text that was transcribed.It can be used if you want to read content without listening to it at the same time. A transcript is a plain text version of an audio file.First, let's get things straight: People often confuse transcription with captioning (and I must admit that I do too, shame on me…).Įven though they are alike and are usually generated by the same tools, they serve different purposes:
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