{"id":417,"date":"2016-04-14T18:48:00","date_gmt":"2016-04-14T18:48:00","guid":{"rendered":"http:\/\/box5722.temp.domains\/~audioor1\/how-to-make-a-voice-sit-over-background-noise-music\/"},"modified":"2018-12-23T18:10:25","modified_gmt":"2018-12-23T18:10:25","slug":"how-to-make-voice-sit-over-background","status":"publish","type":"post","link":"https:\/\/audioordeal.co.uk\/how-to-make-voice-sit-over-background\/","title":{"rendered":"How To Make a Voice Sit Over Background Noise\/Music"},"content":{"rendered":"
This tutorial has many applications.<\/span><\/p>\n You could be trying to mix a singer’s voice over a song, you could be talking over music in a podcast or radio package, you could even be doing the voice-over for a film.<\/span><\/p>\n Regardless of what it is, you will face the same issue.<\/span><\/p>\n The voice needs to be distinct over the background sound.<\/span><\/p>\n There are many techniques to doing this, the most basic is to just dip the sound’s volume when talking, but I’m going to show you some more advanced tricks for a more natural sound.<\/span><\/p>\n As the backing sound could be anything from music to industrial noise, I shall just refer to it as the “sound” or “background”, it is all the same in the case of what we are doing.<\/span><\/p>\n The first part is picking a good background sound to go behind the voice.<\/span><\/p>\n If you are recording vocals over a song, you already have this sound so you can skip this part.<\/span><\/p>\n If not, there are many things you should consider.<\/span><\/p>\n Let’s use a Radio Package as an example, the reporter’s voice is being recorded in the studio but they want the sounds from location added.<\/span><\/p>\n We want sounds that fit nicely around the reporter’s voice, if someone is clearly talking in the background, this is not good as it will take attention away so either avoid voices or have indistinct crowd chatter.<\/span><\/p>\n This example is going to use motorway noise in the background:<\/span><\/p>\n If you listen to a motorway, it has sound from pretty much all frequencies.<\/span><\/p>\n Imagine white noise, it sounds fairly similar.<\/span><\/p>\n It also has a lot of voice-range frequencies which could mask the voice.<\/span><\/p>\n So, the first thing we are going to want to do is to identify the range of the voice.<\/span><\/p>\n