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PRO TOOLS 10 ADVANCED MUSIC PRODUCTION TECHNIQUES PDF

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Pro Tools 10 Advanced Music Production Techniques Pdf

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To prevent rounding error larger than the implicit error during ADC, calculations during processing must be performed at higher precisions than the input samples.

In either case, the precision of each operation is determined by the precision of the hardware operations used to perform each step of the processing and not the resolution of the input data.

For example, on x86 processors, floating point operations are performed with single or double precision and fixed-point operations at , or bit resolution.

Consequently, all processing performed on Intel-based hardware will be performed with these constraints regardless of the source format.

Fixed point digital signal processors often support specific word sizes and precisions in order to support specific signal resolutions.

For example, the Motorola DSP chip uses bit word sizes, bit multipliers and bit accumulators to perform multiply-accumulate operations on two bit samples without overflow or truncation. Errors compound through multiple stages of DSP at a rate that depends on the operations being performed.

For uncorrelated processing steps on audio data without a DC offset, errors are assumed to be random with zero mean.

Under this assumption, the standard deviation of the distribution represents the error signal, and quantization error scales with the square root of the number of operations. Dithering eliminates non-linear quantization error behavior, giving very low distortion, but at the expense of a slightly raised noise floor. Without dither, the dynamic range correlates to the quantization noise floor.

Using higher bit depths during studio recording accommodates greater dynamic range. Fixed point digital signal processors often support specific word sizes and precisions in order to support specific signal resolutions.

For example, the Motorola DSP chip uses bit word sizes, bit multipliers and bit accumulators to perform multiply-accumulate operations on two bit samples without overflow or truncation.

Errors compound through multiple stages of DSP at a rate that depends on the operations being performed. For uncorrelated processing steps on audio data without a DC offset, errors are assumed to be random with zero mean. Under this assumption, the standard deviation of the distribution represents the error signal, and quantization error scales with the square root of the number of operations.

Dithering eliminates non-linear quantization error behavior, giving very low distortion, but at the expense of a slightly raised noise floor.

Without dither, the dynamic range correlates to the quantization noise floor. Using higher bit depths during studio recording accommodates greater dynamic range.

If the signal's dynamic range is lower than that allowed by the bit depth, the recording has headroom.

The higher the bit depth, the more headroom that is available. This reduces the risk of clipping without encountering quantization errors at low volumes. With the proper application of dither, digital systems can reproduce signals with levels lower than their resolution would normally allow, extending the effective dynamic range beyond the limit imposed by the resolution.Need help with this?

Clear your schedule. Description Post production for film and video is a complex and potentially confusing topic.

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If you record yourself banging a pot in your room, with your microphone, no one in the entire world has that same exact sample.

First, focus on only the melody.

Floating point[ edit ] The resolution of floating point samples is less straightforward than integer samples because floating point values are not evenly spaced. Minimize distractions and your work will flourish. So sit back, dig in and hopefully focus on learning, utilizing and implementing these tips as a continuation of your ever-evolving music journey.

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