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De-essing (also desibilizing) is any technique intended to reduce or eliminate the excessive prominence of sibilant consonants, such as the sounds normally represented in English by "S (letter), s", "z", "ch", "j" and "sh", in recordings of the human voice. Sibilance lies in frequencies anywhere between 2 and 10 kHz, depending on the individual voice.
De-essing is a dynamic audio editing process, only working when the level of the Signal (electrical engineering), signal in the sibilant range (the ess sound) exceeds a set threshold. De-essing temporarily reduces the level of high-Frequency (sound), frequency content in the signal when a sibilant ess sound is present. De-essing differs from equalization (audio), equalization, which is a static change in level among many frequencies. However, equalization of the ess frequencies alone can be manipulated to reduce the level of sibilance.
There are several time- and frequency-based algorithms that can reduce sibilance or de-ess the sound. Time-domain approaches, such as bandpass filters, are more suited to real-time applications such as live radio due to less constraint on digital signal processor. Playback or offline applications incorporate methods based on fast Fourier transform (FFT).
With this technique, the signal feeding the Dynamic range compression#Side-chaining, side-chain of a dynamic-range compressor is equalized or filtered so that the sibilant frequencies are most prominent. As a result, the compressor only reduces the level of the signal when there is a high level of sibilance. This reduces the level over the entire frequency range. Because of this, attack and release times are extremely important, and threshold settings cannot be placed as low as with other types of de-essing techniques without experiencing more blatant sound artifacts.
Here, the signal is split into two frequency ranges: a range that contains the sibilant frequencies, and a range that does not. The signal containing the sibilant frequencies is sent to a compressor. The other frequency range is not processed. Finally the two frequency ranges are combined back into one signal.
The original signal can either be split into high (sibilant) and low frequencies, or split so that the frequencies ''both'' below and above the sibilance are untouched. This technique is similar to multi-band compression.
The gain of a parametric equalizer is reduced as the level of the sibilance increases. The frequency range of the equalizer is centered on the sibilant frequencies.
Audio editing software, whether professional or amateur software such as Audacity (audio editor), Audacity, can use the built-in equalization effects to reduce or eliminate sibilance ess sounds that interfere with a recording. Described here is a common method with Audacity. The process is in two phases:
# Analyze the frequency of the voice's ess sound by sampling several instances and calculating the range of ess frequencies. Male voices sibilance range in 3–6 kHz, while female voice's typically range in 6–8 kHz.
# Apply an equalization filter to quiet the determined frequency band by −4 dB to −11 dB during ess-frequency time events.
The rise and fall time of filter should be fast (less than 10 ms) in order to clip the sibilance-specific instances only.
Causes
Excess sibilance can be caused by Dynamic range compression, compression, microphone choice and technique, and even simply the way a person's Human mouth, mouth anatomy is shaped. Ess sound frequencies can be irritating to the ear, especially with earbuds or headphones, and interfere with an otherwise modulated and pleasant audio stream.Process of de-essing
De-essing is a dynamic audio editing process, only working when the level of the Signal (electrical engineering), signal in the sibilant range (the ess sound) exceeds a set threshold. De-essing temporarily reduces the level of high-Frequency (sound), frequency content in the signal when a sibilant ess sound is present. De-essing differs from equalization (audio), equalization, which is a static change in level among many frequencies. However, equalization of the ess frequencies alone can be manipulated to reduce the level of sibilance.
There are several time- and frequency-based algorithms that can reduce sibilance or de-ess the sound. Time-domain approaches, such as bandpass filters, are more suited to real-time applications such as live radio due to less constraint on digital signal processor. Playback or offline applications incorporate methods based on fast Fourier transform (FFT).
Using a dedicated de-essing plugin
In the current digital stronghold of audio production, the most commonly used tool for reducing sibilance is a de-esser plugin. A dynamic equalizer can be used to achieve the same effects as a de-esser, however, plugin manufacturers have tailored these tools to operate efficiently within the mid-high to high frequencies. A de-essing plugin will compress the desired signal according to the amplitude of the selected frequency as it passes over a preset threshold. In the case of excessive sibilance anywhere from 4 to 10 kHz will often be where the problem resides. Certain plugins will shape the envelope of the compression to achieve a more musical effect. Over de-essing can result in the over-manipulation of transients, resulting in the softening or hardening of certain consonants, yielding undesirable effects.Side-chain compression or broadband de-essing
With this technique, the signal feeding the Dynamic range compression#Side-chaining, side-chain of a dynamic-range compressor is equalized or filtered so that the sibilant frequencies are most prominent. As a result, the compressor only reduces the level of the signal when there is a high level of sibilance. This reduces the level over the entire frequency range. Because of this, attack and release times are extremely important, and threshold settings cannot be placed as low as with other types of de-essing techniques without experiencing more blatant sound artifacts.
Split-band compression
Here, the signal is split into two frequency ranges: a range that contains the sibilant frequencies, and a range that does not. The signal containing the sibilant frequencies is sent to a compressor. The other frequency range is not processed. Finally the two frequency ranges are combined back into one signal.
The original signal can either be split into high (sibilant) and low frequencies, or split so that the frequencies ''both'' below and above the sibilance are untouched. This technique is similar to multi-band compression.
Dynamic equalization
The gain of a parametric equalizer is reduced as the level of the sibilance increases. The frequency range of the equalizer is centered on the sibilant frequencies.
De-essing with automation
A more recent method of de-essing involves Mix automation, automation of the vocal level in a digital audio workstation (DAW). Whenever problematic sibilance occurs, the level can be set to follow automation curves that are manually drawn in by the user. This method is made feasible by editing automation points directly, as opposed to programming by manipulating gain sliders in a write-mode. An audio engineer would not be able to react fast enough to precisely reduce and restore vocal levels for the brief duration of sibilants during real-time playback.De-essing without automation or with manual equalization
Audio editing software, whether professional or amateur software such as Audacity (audio editor), Audacity, can use the built-in equalization effects to reduce or eliminate sibilance ess sounds that interfere with a recording. Described here is a common method with Audacity. The process is in two phases:
# Analyze the frequency of the voice's ess sound by sampling several instances and calculating the range of ess frequencies. Male voices sibilance range in 3–6 kHz, while female voice's typically range in 6–8 kHz.
# Apply an equalization filter to quiet the determined frequency band by −4 dB to −11 dB during ess-frequency time events.
The rise and fall time of filter should be fast (less than 10 ms) in order to clip the sibilance-specific instances only.
See also
References
External links
* {{Music technology Dynamics processing Speech processing