G910 MUSIC SPECTROGRAPH SOFTWARE
G910 MUSIC SPECTROGRAPH PLUS

G910 MUSIC SPECTROGRAPH PLUS

We’ve collected tips to help you identify seven common types of audio problems in a spectrogram, plus the modules in RX to remove them quickly and effectively. Spectrograms, also known as spectral waterfalls, sonograms, voiceprints or voicegrams, are time-varying spectral representations created by spectrographs that show how the spectral density of signals vary with time. Identifying what kind of problem you have can help determine the most appropriate tool and method for treating the problem. There are a number of different audio problems that the tools in RX can help you fix. Using the spectrogram to solve audio problems

G910 MUSIC SPECTROGRAPH SOFTWARE

If you’re trying to identify a high frequency event, or working with a transient signal (such as a percussion or drum loop), choose a lower FFT size. Set the analysis parameters and get detailed info on the sound sample This software allows you to record and analyze or scan in real time the input from any sound source. If you’re trying to identify a plosive, mic handling noise, or other muddy low-frequency information, a higher FFT size in your spectrogram settings will help. Depending on the type of audio you’re working with and visualizing, changing the FFT size may help.Īs a rule, higher FFT sizes give you more detail in frequencies, referred to as frequency resolution, while lower FFT sizes give you more detail in time, referred to as time resolution. Because of its profound level of detail, a spectrogram is particularly useful in post productionso it’s not surprising that you’ll find one in tools like. Many plug-ins that feature a spectrogram display allow you to adjust the size of the FFT, but what does this mean for audio repair and restoration? Changing the FFT size will change the way the algorithm computes the spectrogram, causing it to look different. A spectrogram can visually reveal broadband, electrical, or intermittent noise in audio, and can allow you to easily isolate those audio problems by sight. An algorithm known as the “ Fast Fourier Transform,” or FFT for short, is used to compute this visual display. This not only helps inform your editing decisions, but, in the case of a spectrogram display, can provide new, exciting ways to edit audio-especially when used in tandem with a waveform display. The aim of any good visualization tool for audio repair and restoration is to provide you with more information about an audible problem.

G910 music spectrograph