KR960016164A - Bit allocation method of audio signal - Google Patents

Bit allocation method of audio signal Download PDF

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KR960016164A
KR960016164A KR1019940028378A KR19940028378A KR960016164A KR 960016164 A KR960016164 A KR 960016164A KR 1019940028378 A KR1019940028378 A KR 1019940028378A KR 19940028378 A KR19940028378 A KR 19940028378A KR 960016164 A KR960016164 A KR 960016164A
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South Korea
Prior art keywords
band
value
masking
bands
threshold
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KR1019940028378A
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Korean (ko)
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KR0138325B1 (en
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김연배
김상욱
서양석
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김광호
삼성전자 주식회사
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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G10L19/0204—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using subband decomposition
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/002—Dynamic bit allocation
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G10L19/032—Quantisation or dequantisation of spectral components

Abstract

본 발명은 오디오 신호의 비트 할당방법을 공개한다. 그 방법은 다수의 대역으로 임의의 입력신호의 데이타를 분리하는 데이타 분리단계, 상기 입력신호를 변환하여 주파수 성분별로 상기 입력신호에 대한 양을 구하는 주파수 성분단계, 주파수 영역에서의 스펙트럼값들을 임계대역들로 나누어 주고, 상기 대역에서의 상기 신호의 크기를 구하는 임계대역단계, 상기 주파수 성분중 톤성분과 잡음성분을 구분하는 분리단계, 상기 분리단계에서 구해진 상기 각 성분에 의해 상기 각 대역에 대해 마스킹되어지는 정도를 계산하는 마스킹 단계, 상기 마스킹 단계에서 구해진 상기 마스킹 값과 최소 가청한의 상기 각 대역값들과 비교해서, 큰값을 각 대역의 최종 마스크로된 문턱치로 해주는 최종 마스크단계, 상기 임계대역단계와 상기 최종 마스크단계에서 계산된 상기 값을 이용하여 제1값을 계산하는 제1계산 단계, 상기 임계대역별 상기 제1값을 기준으로 제2값을 계산하는 제2계산 단계, 상기 제2값을 기준으로 상기 각 대역에 비트들을 할당해 주는 비트 할당단계, 상기 비트를 이용하여 상기 임계대역 중 하나의 상기 임계대역으로 포함될 수 있는 대역의 상기 데이타를 양자화하는 양자화 단계, 상기 양자화 단계후에 양자화된 비트를 정해진 형태로 묶는 비트 팩킹 단계로 구성되어 있다. 따라서, 비트할당 알고리즘이 간단하여 하드웨어 구현시 처리속도를 높일 수 있다.The present invention discloses a bit allocation method of an audio signal. The method includes a data separation step of separating data of an arbitrary input signal into a plurality of bands, a frequency component step of converting the input signal to obtain an amount of the input signal for each frequency component, and threshold values of spectral values in the frequency domain. A threshold band step of obtaining the magnitude of the signal in the band, a separation step of dividing a tone component and a noise component among the frequency components, and masking the respective bands by the respective components obtained in the separation step A masking step of calculating a degree to be made, a final masking step of comparing the masking value obtained in the masking step with the minimum audible band values, and making a large value a threshold value of the final mask of each band, the threshold band A first system for calculating a first value using the value calculated in the step and the final mask step A second calculation step of calculating a second value based on the first value for each critical band; a bit allocation step of allocating bits to the respective bands based on the second value; A quantization step of quantizing the data of a band that can be included as one of the critical bands, and a bit packing step of binding the quantized bits in a predetermined form after the quantization step. Therefore, the bit allocation algorithm is simple, which can increase the processing speed in hardware implementation.

Description

오디오 신호의 비트 할당방법Bit allocation method of audio signal

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음As this is a public information case, the full text was not included.

제2도는 디지탈 오디오 시스템의 복호화장치의 블럭도이다,2 is a block diagram of a decoding apparatus of a digital audio system.

제3도는 주파수 대 잡음에 대한 마스킹 레벨과의 비율(NMR)의 관계를 나타내는 그래프이다.3 is a graph showing the relationship of the ratio (NMR) to the masking level for frequency to noise.

Claims (1)

다수의 대역으로 임의의 입력신호의 데이타를 분리하는 데이타 분리단계; 상기 입력신호를 변환하여 주파수 성분별로 상기 입력신호에 대한 양을 구하는 주파수 성분단계; 주파수 영역에서의 스펙트럼값들을 임계대역들로 나누어 주고, 상기 대역에서의 상기 신호의 크기를 구하는 임계대역단계; 상기 주파수 성분중 톤성분과 잡음성분을 구분하는 분리단계; 상기 분리단계에서 구해진 상기 각 성분에 의해 상기 각 대역에 대해 마스킹되어지는 정도를 계산하는 마스킹 단계; 상기 마스킹 단계에서 구해진 상기 마스킹 값과 최소 가청한의 상기 각 대역값들과 비교해서, 큰값을 각 대역의 최종 마스크된 문턱치로 해주는 최종 마스크단계; 상기 임계대역단계와 상기 최종 마스크단계에서 계산된 상기 값을 이용하여 제1값을 계산하는 제1계산 단계; 상기 임계대역별 상기 제1값을 기존으로 제2값을 계산하는 제2계산 단계; 상기 제2값을 기준으로 상기 각 대역에 비트들을 할당해 주는 비트 할당단계; 상기 비트를 이용하여 상기 임계대역 중 하나의 상기 임계대역으로 포함될 수 있는 대역의 상기 데이타를 양자화하는 양자화 단계; 상기 양자화 단계후에 양자화된 비트를 정해진 형태로 묶는 비트팩킹 단계를 구비하는 것을 특징으로 하는 오디오 신호의 비트 할당 방법.A data separation step of separating data of an arbitrary input signal into a plurality of bands; A frequency component step of converting the input signal to obtain an amount of the input signal for each frequency component; A threshold band step of dividing spectral values in a frequency domain into threshold bands and obtaining a magnitude of the signal in the band; A separation step of classifying a tone component and a noise component among the frequency components; A masking step of calculating a degree of masking for each of the bands by the components obtained in the separation step; A final mask step of making a large value the final masked threshold of each band by comparing the masking value obtained in the masking step with each of the minimum audible band values; A first calculation step of calculating a first value using the values calculated in the critical band step and the final mask step; A second calculation step of calculating a second value based on the first value for each of the critical bands; A bit allocation step of allocating bits to the respective bands based on the second value; A quantization step of using the bits to quantize the data in a band that can be included in the threshold band of one of the threshold bands; And a bit packing step of binding the quantized bits into a predetermined form after the quantization step. ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.※ Note: The disclosure is based on the initial application.
KR1019940028378A 1994-10-31 1994-10-31 Coding method of audio signal KR0138325B1 (en)

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KR1019940028378A KR0138325B1 (en) 1994-10-31 1994-10-31 Coding method of audio signal

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Application Number Priority Date Filing Date Title
KR1019940028378A KR0138325B1 (en) 1994-10-31 1994-10-31 Coding method of audio signal

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KR960016164A true KR960016164A (en) 1996-05-22
KR0138325B1 KR0138325B1 (en) 1998-06-15

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