How To Remove Background Noise From Video: Best Practices For Professional Content

"When professionals talk about how to remove background noise from video, they are really talking about improving the audio track of a video so the speaker's voice is clearer, more consistent, and easier to understand. Background noise refers to any unwanted sound that competes with the main voice, like air conditioning hum, office chatter, keyboard typing, traffic, or the low hiss created by recording equipment and compression. In video production, background noise removal is about reducing distractions so the listener can focus on the message."

"It is also important to understand the difference between noise reduction for video and audio enhancement. Removing background noise (or video noise reduction) focuses on identifying and lowering unwanted sounds. Audio enhancement, on the other hand, improves what should be heard. For example, balancing volume levels, increasing vocal clarity, or adding warmth to speech. In practice, most workflows use both: first remove noise from the video audio, then enhance the voice."

"However, there are limits to what can be done. You can realistically reduce background noise in video, but you usually cannot remove it entirely without affecting voice quality. It's especially difficult to isolate sounds that overlap with speech, like loud conversations or echoes in a room. Therefore, if you process the audio too much, it may sound robotic or unnatural."

Background noise in video consists of unwanted sounds that compete with the main voice, such as air conditioning hum, office chatter, keyboard typing, traffic, and equipment hiss. Removing background noise aims to reduce those distractions so the speaker's voice is clearer, more consistent, and easier to understand. Noise reduction targets unwanted sounds, while audio enhancement improves desired voice qualities like volume balance, clarity, and warmth. Typical workflows first apply noise reduction to the video's audio track and then perform voice enhancement. Complete removal of noise is often impossible without degrading voice quality, especially when noises overlap speech or create echoes.

Read at eLearning Industry