Sound Cleaner II

Software Sound Cleaner II Is a noise cleaning system. Through Sound Cleaner II The user can create a signal processing circuit by combining any of the provided filters in the sequence that he needs. Sound Cleaner II Provides users with a number of editing and signal processing tools that often precede the process of noise reduction. Besides, Sound Cleaner II Contains a built-in text editor that makes it possible to make a fast transcription of audio recordings without permanent transitions from the playback mode to a third-party text editor. The main features of Sound Cleaner II:

• Normalization of the signal before applying filters. Sound Cleaner allows you to normalize the sound by setting the desired output signal amplitude in counts or dB. In addition, negative and positive amplitude values ​​can be adjusted separately.
• Clipping the signal in order to reduce the level of unwanted amplitude jumps and to reduce the effect of masking the signal.
• Resampling. If only the speech is of interest to the listener of the listener, a lowering of the sampling frequency will make it possible to get rid of high-frequency non-speech information, which can only interfere. Increasing the sampling frequency of the signal can be prepared for recording on a CD or broadcasting on air.
• Tempocorrection. Tempo correction allows you to increase or decrease the speed of speech without changing the tone. Fast speech can become more understandable if you slow down the playback speed of an audio recording.
• Stereo / mono operation. Splitting a stereo track into two mono channels will help avoid unnecessary processing of both channels.

Filters

• Broadband filter

The filter is designed to reduce noise levels of rooms and streets, interference of communication channels or recording equipment. According to the sound, noises of this kind correspond to hiss and can not be eliminated by other filtering methods, since the interference spectrum intersects or coincides with the spectrum of the useful signal. The filter is adaptive and has maximum efficiency with simplicity of settings.

• Tonal filter

Tonal filter allows you to remove from the signal both narrow-band stationary interference, and interference, having a regular nature, such as vibrations, network noise, noise of home appliances, slow music. The filter subtracts the interference, rather than cutting its frequency from the spectrum.

• Dynamic filter

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue. The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

• The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.

The dynamic processing filter is designed to improve speech intelligibility in conditions of large signal level fluctuations. Dynamic processing algorithms improve the perception of sound by equalizing the amplitude of the signal on the audio record. A useful property of dynamic processing is to reduce the listener's fatigue.