Dynamic range compressor - MATLAB
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Description
The compressor System object performs dynamic range compression independently across each input channel.
Use dynamic range compression to attenuate the volume of loud sounds.
A dynamic range limiter is a special type of dynamic range compressor. In limiters, the level above an operational threshold is hard limited. In the simplest implementation of a limiter, the effect is equivalent to audio clipping. In compressors, the level above an operational threshold is lowered using a specified compression ratio. Using a compression ratio results in a smoother processed signal.
Plosives are consonant sounds resulting from a sudden release of airflow. They are most pronounced in words beginning with p, d, and g sounds. Plosives can be emphasized by the recording process and are often displeasurable to hear. In this example, you minimize the plosives of a speech signal by applying highpass filtering and low-band compression.
Create a dsp.AudioFileReader to read in audio frame-by-frame. Create an audioDeviceWriter to write audio to your sound card. Create a compressor to process the audio data. Call visualize to plot the static characteristic of the compressor.
Use the EnableSidechain input of a compressor object to reduce the amplitude level of a separate audio signal. The sidechain signal controls the compression on the input audio signal. When the sidechain signal exceeds the compressor threshold, the compressor activates and decreases the amplitude of the input signal. When the sidechain signal level falls below the threshold, the audio input returns to its uncompressed amplitude.
Use dynamic range compression to attenuate the volume of loud sounds.
A dynamic range limiter is a special type of dynamic range compressor. In limiters, the level above an operational threshold is hard limited. In the simplest implementation of a limiter, the effect is equivalent to audio clipping. In compressors, the level above an operational threshold is lowered using a specified compression ratio. Using a compression ratio results in a smoother processed signal.
Plosives are consonant sounds resulting from a sudden release of airflow. They are most pronounced in words beginning with p, d, and g sounds. Plosives can be emphasized by the recording process and are often displeasurable to hear. In this example, you minimize the plosives of a speech signal by applying highpass filtering and low-band compression.
Create a dsp.AudioFileReader to read in audio frame-by-frame. Create an audioDeviceWriter to write audio to your sound card. Create a compressor to process the audio data. Call visualize to plot the static characteristic of the compressor.
Use the EnableSidechain input of a compressor object to reduce the amplitude level of a separate audio signal. The sidechain signal controls the compression on the input audio signal. When the sidechain signal exceeds the compressor threshold, the compressor activates and decreases the amplitude of the input signal. When the sidechain signal level falls below the threshold, the audio input returns to its uncompressed amplitude.
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