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 had to choose one of our integrated external service providers (Wit.ai, Google Cloud Speech, Amazon Transcribe, Speechmatics) for speech recognition, so audio files were transferred to an external server, using external computing powers, that users had to pay for ...

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).
Their NVIDIA Inception Program will enable us to leverage NVIDIA's cutting-edge technology by accessing more diverse cloud and GPU (Graphics Processing Unit) product offerings, which are used in most Machine Learning and Deep Learning model training instances worldwide. This will allow us to streamline ...

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: Even if automatically generated transcripts are not perfect and might be difficult to read (spoken text is very different from written text), they are very valuable if you try to find a specific topic within a one-hour audio file or if you need the exact ...

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 you to run the production that you edit in Hindenburg through Auphonic algorithms and apply all the audio post-production in just one click: you now can seamlessly transfer the audio file from Hindenburg to Auphonic for further post-production. This step is carried out in ...

A watch folder allows to automatically start productions using a preset, whenever new files appear on the selected external service. Metadata, chapter marks, and cover images will be imported from input files.
Watch folders can be used to set up automatic post processing workflows, similar to Zapier, without any coding or API scripting.

Photo by Colin Lloyd.

How it Works

Let's take Dropbox, for example. While you can add Dropbox as an external service to Auphonic and process files from your Dropbox on demand, a watch folder monitors your Dropbox and, as soon as you ...

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 and use cases!

Glitch While Streaming by Michael Dziedzic.

How to try out the Beta Denoiser

At the moment, only users with access to our advanced algorithm parameters can try the beta noise reduction algorithms (free users: please just ...

Starting off your new podcast or looking for the best tools that can help you grow or revamp your already launched podcast? Here is one answer to your relentless searches: our collection of impressive tools for podcast production.

There are quite some big players out there on the market that most podcasters are already acquainted with and which allow or might not allow (that’s why you are here, aren’t you?) to produce a sound podcast.
Yet, the podcasting ecosystem is even bigger than it seems, and more and more newcomers are joining the game. That is why we prepared ...