Make AI Generated Voice Overs Sound Cool #aivoice #voiceover #audioediting

Introduction

In this article, we will explore the process of enhancing the quality of AI-generated voice overs using audio editing techniques. The focus will be on making the voice over sound more professional and polished. The demonstration takes place in Adobe Audition, where the narrator works with a generated voice using their own cloned voice. The tutorial begins with analyzing the existing voice over, identifying areas for improvement, and implementing adjustments to enhance the overall sound quality.

The first step involves using the Marquee selector to address sibilance issues in the voice over. By isolating the problematic frequencies and adjusting the threshold and center frequency, the narrator effectively reduces the harsh sibilant sounds in the AI-generated voice over. Following the adjustments, a comparison between the original and enhanced versions shows a noticeable improvement in the audio quality. Through simple modifications in amplitude and compression settings, the narrator demonstrates how to refine the AI voice over and achieve a more pleasing result.

Keywords

audio editing, AI voice, voice over, sibilance reduction, Adobe Audition, amplitude and compression

FAQ

What is sibilance in audio editing, and why is it important to address it in voice overs?

Sibilance refers to harsh, hissing sounds produced during speech, typically caused by the pronunciation of certain letters like 's' and 'sh'. Addressing sibilance is crucial in voice overs as it can distract listeners and reduce the overall quality of the audio.

How can amplitude and compression settings in audio editing software improve the quality of AI-generated voice overs?

Adjusting amplitude and compression settings can help in refining the dynamics of the voice over, ensuring a balanced sound output. By fine-tuning these settings, audio editors can enhance clarity, reduce unwanted artifacts, and improve the overall richness of the voice over.