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(1) Redundant information of audio signal
If the digital audio signal is transmitted directly without compression, it will occupy a huge bandwidth. For example, if the sampling frequency of a set of dual channel digital audio is 44.1KHz and each sample value is quantized by 16bit, the code rate is:
2*44.1kHz*16bit=1.411Mbit/s
Such a large bandwidth will bring many difficulties to the signal transmission and processing, so we must adopt the audio compression technology to process the audio data, in order to effectively transmit the audio data.
Digital audio compression coding can compress the audio data signal as much as possible on the premise that the signal does not produce distortion in hearing. Digital audio compression coding is realized by removing redundant components in sound signal. The so-called redundant components refer to the signals in the audio that can not be perceived by the human ear. They have no help in determining the timbre, tone and other information of the sound.
Redundant signals include audio signals beyond the range of human hearing and audio signals that are masked. For example, the frequency range of sound signal that can be detected by human ear is 20Hz ~ 20kHz, and other frequencies that cannot be detected by human ear can be regarded as redundant signals. In addition, according to the physiological and psychoacoustic phenomenon of human hearing, when a strong tone signal and a weak tone signal exist at the same time, the weak tone signal will be masked by the strong tone signal and can not be heard, so the weak tone signal can be regarded as redundant signal instead of transmission. This is the masking effect of human hearing, which is mainly manifested in the spectrum masking effect and the time-domain masking effect
(a) Spectrum masking effect
When the sound energy of a frequency is less than a certain threshold, the human ear will not hear it. This threshold is called the minimum audible threshold. When another sound with higher energy appears, the threshold near the sound frequency will increase a lot, which is called masking effect.
From the figure, we can see that the human ear is most sensitive to the sound of 2KHz ~ 5KHz, and is very insensitive to the sound signal with too low or too high frequency. When a sound with frequency of 0.2khz and intensity of 60dB appears, the threshold near it increases a lot. From the figure, we can see that the part below 0.1khz and above 1kHz is far away from the strong signal of 0.2khz, so it is not affected by the strong signal of 0.2khz, and the threshold is not affected; while in the range of 0.1khz-1khz, due to the appearance of strong tone of 0.2khz, the threshold is greatly improved, and the minimum sound intensity that the human ear can feel in this range is greatly improved. If the intensity of the sound signal in the range of 0.1khz ~ 1kHz is below the threshold curve, because it is masked by the 0.2khz strong tone signal, then our ears can only hear the strong tone signal of 0.2khz at this time, but can not hear other weak signals at all. These weak tone signals existing at the same time with the strong tone signal of 0.2khz can be regarded as redundant signals and need not be transmitted.
(b) Time domain masking effect
When strong tone signal and weak tone signal appear at the same time, there is also time-domain masking effect. That is to say, when the occurrence time of the two is very close, the masking effect will also occur. The time-domain masking process curve is shown in the figure, which is divided into three parts: front masking, simultaneous masking and back masking.
The time-domain masking effect can be divided into three types: front masking, simultaneous masking and back masking. Pre masking means that the existing weak signal will be masked and not be heard in a short time before the human ear hears the strong signal. Simultaneous masking means that when the strong signal and the weak signal exist at the same time, the weak signal will be masked by the strong signal and not be heard. Post masking refers to that when the strong signal disappears, it takes a long time to hear the weak signal again, which is called post masking. These signals can be regarded as redundant signals.
(c) Compression coding method
At present, there are different coding schemes and implementation methods in the field of digital audio coding, but the basic coding ideas are similar, as shown in the figure.
For each audio channel, it is necessary to map them to the frequency domain, which can be realized by subband filter. The audio sampling block in each channel first calculates the masking threshold value according to the psychoacoustic model, and then determines the number of bits in different frequency domains allocated to the channel from the common bit pool according to the calculated masking threshold value, and then carries out quantization and coding, and finally adds the control parameters and auxiliary data into the data to generate the encoded data stream.
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