Audio enhancement improves clarity and reduces background noise, making it crucial for high-quality sound in content creation, online meetings, and live broadcasts.

Each option for audio enhancement comes with various tradeoffs and benefits. In this blog, we’ll cover various options for enhancing audio and how to implement them if you’re building your own application.

Top Audio Enhancement Models

Some of the top models for audio enhancement are listed below.

Model	Description	Public API available?
Adobe Podcast	Standalone, solution offered by Adobe. Best "enhancement" effect that turns audio into a studio-like recording.	No
Auphonic	Popular audio editing tool with AI and non-AI audio editing solutions. Consistent, high quality with minimal artifacts.	Yes
ai|coustics	AI audio company offering two models: Lark and Finch. Most "Adobe Podcast"-like effect to enhanced audio, but with hissing artifacts at times.	Yes
Dolby Enhance	Dolby's media enhance solutions with model parameters tunable depending in specific content type.	Yes
Cleanvoice	Podcast editing tool offering solutions for audio enhance, transcription, and filler word removal. Medium quality, fast processing times.	Yes
ElevenLabs Vocal Isolator	ElevenLabs' vocal isolation model. Mixed result quality, and extremely expensive.	Yes
Resemble Enhance	Open-source model from Resemble AI. Extremely fast solution, medium quality.	Yes

Picking the right audio enhancer

While audio enhance quality is subjective and highly dependent on the use case, here are some general factors to consider:

• Enhancement Effect: If you require a “studio sound” effect to your audio, the best solutions are likely Adobe Podcast, ai|coustics, or Auphonic. These make the perceived environment sound like a studio, which may be drastically different than the original recording setting.
• Background Noise: If you’re primarily looking to remove background noise without changing the way the original audio sounds, your best solutions are likely Cleanvoice, ElevenLabs, or Resemble Enhance. This is primarily useful in applications when the only problem with the audio is a noisy background.
• Speed: Each solution comes with drastically different speed. If you’re looking into realtime applications, Resemble Enhance is a great option.
• Cost: Solutions can range anywhere between sub-cent / minute of audio processed up to $0.05 / min of audio processed.

How to integrate an audio enhancer via API

To use audio enhance models effectively in production environments, it’s essential to have simple API integration with the ability to switch between models as necessary and respect as many audio/video formats as possible.

Sieve’s audio enhance pipeline offers a flexible solution for exactly this, and comes with a simple API integration too.