DeepVA changelog march 2025

Changelog March 2025: Audio Enhancement, Content Moderation and more Languages

We have updated our composite AI platform DeepVA and are excited to introduce the latest improvements and two new features. This update enhances usability, expands language support, and strengthens the platform’s overall flexibility and reliability.

Deep Media Analyzer: New Features & Enhancements

AI-based Audio Enhancement by AI Coustics

The Audio Enhancement Module is a new addition to the Deep Media Analyzer, designed to significantly improve the quality of audio recordings. By utilizing AI-driven noise reduction and frequency restoration, it enhances speech clarity, making spoken content more intelligible and natural.

This module is particularly useful for processing low-quality audio sources, removing background noise, and restoring sound balance.

The module offers two specialized model architectures: 

  • FINCH

    Focuses on noise suppression by eliminating background sounds and reducing unwanted audio artifacts. This model is ideal for scenarios like podcasts, interviews, and field recordings where a clean audio output is essential.

  • LARK

    Aims at frequency restoration and enhancing audio clarity by recovering missing frequencies, thereby adding depth and richness to the sound. It's particularly suitable for music remastering, restoring archival materials, and improving original audio tracks.

This innovation is developed by our partner AI-Coustics, demonstrating the strength of collaborations between start-ups, research institutions, and our own development team. By integrating solutions from specialized AI partners, we help bring cutting-edge technology into production workflows, ensuring that smart innovations transition from research to real-world applications.

Looking ahead, this module will also play a key role in increasing transcription quality for bad audio recordings, by enhancing audio clarity this leads to more accurate speech-to-text results, reducing errors in automated transcription workflows.

New Feature - Content Moderation

The Content Moderation Module in the Deep Media Analyzer introduces an automated way to analyze and rate video content by segmenting individual shots and assigning ratings based on the ESRB Content Descriptors. This AI-powered feature evaluates visual elements in a video or image and categorizing content into main rating categories such as Violence, Nudity, and Substance Use, along with detailed second-level descriptors like Mild Violence or Drug Reference.

This functionality is particularly useful for automating rating procedures for large content libraries and providing rating recommendations for human reviewers. By pre-processing vast amounts of video content, it helps broadcasters, streaming platforms, and media archives ensure compliance with content guidelines while saving time and reducing manual workload.

Additionally, this module enhances consistency in content classification and can be integrated into workflow automation.

Improved User Interface

Many small improvements in terms of usability were made:

  • We improved the timeline chart in our results window in order to give a better visibilty and differenciation between the single lines of the chart.
  • The Threat Detection Module received a vertical timeline chart.
  • We added a copy ID function for transcripts, making navigation and referencing easier.

Bug Fixes: More Stability and Consistency

  • Model Parameter Fix: Resolved an issue where parameters were not correctly restored when rerunning a job.

Deep Live Hub: New Features & Improvements

More languages

Our Deep Live Hub now offers even more possibilities and supports five new languages: Persian (fa), Irish (ga), Hebrew (he), Maltese (mt) and Cantonese (yue). Whether you’re looking to facilitate international events or make live content accessible to a wider audience, this extension will break down language barriers even more effectively.

Improved Help & Navigation

The live editor now supports keyboard shortcuts to make live subtitling faster and more intuitive. These are also displayed via the infobox when hovering via a button.
The following hotkeys are now usable:

Function Hotkey
First paragraph
Alt + Up Arrow
Second paragraph
Alt + Left Arrow
Highlighted paragraph
Shift
Next paragraph
Alt + Right Arrow
Last paragraph
Alt + Down Arrow
Pause auto-scroll
Ctrl + Spacebar

This makes it easier to edit longer transcriptions with less mouse interaction and keeps the focus on the keyboard and text. In addition, we have integrated a help icon directly into the user interface that provides quick access to support materials.

Improved Help & Navigation

  1. SRT Formatting: The formatting of SRT files has been corrected, and SRT files can now be manually deleted from past jobs, in addition to the previous automatic deletion.
  2. Language List: The drop-down list is now sorted correctly and contains the new languages.
  3. Live Viewer Improvements: Fixed the issue of non-erasable Live Viewer entries.
  4. Streaming reliability: Fixed time zone differences in the streaming job table.
  5. Timer bug fix: Fixed a recurring issue where the timer reset unexpectedly.

In the coming months, we’ll be preparing new AI-powered workflows for transcription, export creation, and metadata generation to further optimize your media processing.

All DeepVA changelog updates are available here: https://docs.deepva.com/changelog/

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🚀 Success Story: WELT TV ensures 24/7 accessibility with AI-powered live subtitling from Aiconix.
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