Audio enhancement is the process of improving the overall sound quality of an audio signal. It can include increasing clarity, boosting specific frequencies, balancing loudness, and removing unwanted elements like hiss, hum, or distortion.
A classic example is someone speaking in a noisy café. Audio enhancement would remove background chatter, the sound of footsteps and dishes, low-frequency hums and more, while also preserving the speaker’s natural voice and identity.
Depending upon the form of audio enhancement tool, this could be done either post-recording or live with real-time enhancement. For a post-recording use case, the recording might be used as an interview for broadcast. For a real time use case, the recording might be enhanced to improve the performance and success of a voice agent.
Audio enhancement is at the heart of our AI-powered technology. Our proprietary AI models, Lark, Finch, and Quail, offer different use cases to provide the best in audio enhancement. For example, Quail prioritizes real-time enhancement, while Finch is our best-in-class speech isolation tool and Lark goes beyond typical audio enhancement to repair and restore lost frequencies.
Whether processing recordings in bulk or enhancing audio in real time on devices, our solutions remove noise, correct imperfections, and restore natural vocal warmth. This technology empowers developers, creators, and businesses to produce, process, and automate studio-quality sound without the need for expensive recording environments.
