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.