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Kimi-Audio download for Windows

Free download Kimi-Audio Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Kimi-Audio whose latest release can be downloaded as Kimi-Audiosourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Kimi-Audio with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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Kimi-Audio


DESCRIPTION

Kimi-Audio is an ambitious open-source audio foundation model designed to unify a wide array of audio processing tasks — from speech recognition and audio understanding to generative conversation and sound event classification — within a single cohesive architecture. Instead of fragmenting work across specialized models, Kimi-Audio handles automatic speech recognition (ASR), audio question answering, automatic audio captioning, speech emotion recognition, and audio-to-text chat in one system, enabling developers to build rich, multimodal audio applications without stitching together disparate components. It uses a novel model setup that combines continuous acoustic features with discrete semantic tokens to richly capture sound and meaning across speech, music, and environmental audio.



Features

  • Universal audio foundation model
  • Automatic speech recognition (ASR)
  • Audio understanding and question answering
  • Speech emotion recognition and sound classification
  • End-to-end speech conversation support
  • Includes evaluation tools and pretrained models


Programming Language

Python


Categories

AI Models

This is an application that can also be fetched from https://sourceforge.net/projects/kimi-audio.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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