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Today we release our first self-hosted Auphonic Speech Recognition Engine using the open-source Whisper model by OpenAI!
With Whisper, you can now integrate automatic speech recognition in 99 languages into your Auphonic audio post-production workflow, without creating an external account and without extra costs!

Whisper Speech Recognition in Auphonic

So far, Auphonic users ...

We are proud to announce that we recently joined the NVIDIA Inception Program, which will help to speed up our deep learning development process and therefore offer the best possible audio processing tools to our users.

What is NVIDIA Inception

NVIDIA is a global leader in hardware and software for Artificial Intelligence (AI). ...

Speechmatics released a new API including an enhanced transcription engine (2h free per month!) that we integrated into the Auphonic Web Service now.
In this blog post, we also compare the accuracy of all our integrated speech recognition services and present our results.


Automatic speech recognition is most useful to make audio searchable: ...

All the users of Auphonic and Hindenburg – rejoice! We are glad to announce that Hindenburg and Auphonic can now be connected, making your audio editing and post-production process much more straightforward.

Now you do not have to worry any more about manual downloads from Hindenburg and uploads to Auphonic. The new integration allows ...

Our classic noise reduction algorithms remove broadband background noise and hum in audio files with slowly varying backgrounds.
We released the first beta version of the new dynamic noise reduction algorithms now, which work much better with fast-changing and complex noises. Listen to the audio examples below, they demonstrate some of the new features ...