AUDIO SIGNAL COMPRESSION METHOD, AUDIO SIGNAL COMPRESSION APPARATUS, SPEECH SIGNAL COMPRESSION METHOD, SPEECH SIGNAL COMPRESSION APPARATUS, SPEECH RECOGNITION METHOD, AND SPEECH RECOGNITION APPARATUS

Patent №

US 6,311,153

Granted

2001-10-30

Filed 1998

Owner

MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD.

Lab

AI components

1

speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09165297

An audio signal compression apparatus for compressively coding an input audio signal comprises a time-to-frequency transformation unit for transforming the input audio signal to a frequency domain signal; a spectrum envelope calculation unit for calculating a spectrum envelope having different resolutions for different frequencies, from the input audio signal, using a weighting function on frequency based on human auditory characteristics; a normalization unit for normalizing the frequency domain signal using the spectrum envelope to obtain a residual signal; a power normalization unit for normalizing the residual signal by the power; an auditory weighting calculation unit for calculating weighting coefficients on frequency, based on the spectrum of the input audio signal and human auditory characteristics; and a multi-stage quantization device having plural stages of vector quantizers connected in series, to which the normalized residual signal is input, and at least one of the vector quantizers quantizing the residual signal using the weighting coefficients. Therefore, a low frequency band, which is auditively important, can be analyzed with a higher frequency resolution as compared with a high frequency band, whereby efficient signal compression utilizing human auditory characteristics is realized.

SpeechH04B 1/665G10L 2019/0005

AI classification

Speech1.00
Planning0.03
Machine learning0.02
Natural language0.01
Vision0.01
Evolutionary computation0.00
AI hardware0.00
Knowledge representation0.00

Ownership

MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD.

assignment · 96460796

Assignors

NAKATOH, YOSHIHISA, NORIMATSU, TAKESHI, ISHIKASA, TOMOKAZU, SERIKAWA, MITSUHIKO, KATAYAMA, TARO, NAKAHASHI, JUNICHI, YAGI, YORIKO

On an employer assignment, the assignors are typically the inventors.

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