ATRAC: Adaptive Transform Acoustic Coding for MiniDisc

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ATRAC: Adaptive Transform Acoustic Coding for MiniDisc

Abstract

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ATRAC is an audio coding system based on psychoacoustic principles.

The input signal is divided into three subbands which are then

transformed into the frequency domain using a variable block length.

Transform coefficients are grouped into nonuniform bands to reflect

the human auditory system, and then quantized on the basis of dynamic

sensitivity and masking characteristics. ATRAC compresses compact disc

audio to approximately 1/5 of the original data rate with virtually no

loss in sound quality.

1 Introduction

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Recently, there has been an increasing consumer demand for a portable

recordable high-quality digital audio media. The MiniDisc system was

developed to meet this demand. The MiniDisc is based on a 64 mm

optical or magneto-optical disc which has approximately 1/5 of the

data storage capacity of a standard compact disc. Despite the reduced

storage capacity, it was necessary that the MiniDisc maintain high

sound quality and a playing time of 74 minutes. The ATRAC (Adaptive

Transform Acoustic Coding) data compression system was therefor

designed to meet the following criteria:

* Compression of 16-bit 44.1 kHz stereo audio into less than 1/5 of

the original data rate with minimal reduction in sound quality.

* Simple and inexpensive hardware implementation suitable for

portable players and recorders.

When digital audio data is compressed, there is normally a certain

amount of quantization noise introduced into the signal. The goal of

many audio coding systems [1-6] is to control the time-frequency

distribution of this noise in such a way as to render it inaudible to

the human ear. If this is completely successful, the reconstructed

signal will be indistinguishable from the original.

In general, audio coders operate by decomposing the signal into a set

of units, each corresponding to a certain range in time and frequency.

Using this time-frequency distribution, the signal is analyzed

according to psychoacoustic principles.

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