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Featured researches published by Nozomu Saito.


Journal of the Acoustical Society of America | 2004

Method and apparatus for characterizing audio transmitting system, and method and apparatus for setting characteristics of audio filter

Nozomu Saito; Tomohiko Ise

A designing system for adaptively characterizing an audio transmitting system has a white noise generating unit for generating a white noise signal. A speaker radiates the white noise generated by the white noise generating unit into an acoustic space. A microphone is placed at a predetermined position in the acoustic space and collects sound radiated from the speaker. A FIR adaptive filter receives the above white noise signal. An LMS algorithm processing unit updates each tap coefficient of the adaptive filter by using the LMS algorithm. A computation unit calculates the difference between a detection signal output from the microphone and an output of the adaptive filter and outputs the difference as an error signal e. By using a white noise signal having an average power of one, the range of the step size parameter of the LMS algorithm required for stably operating the adaptive filter is fixed. According to the method for characterizing the audio transmitting system and the method for setting an audio filter, the stable operation of the adaptive filters is ensured without increasing the complexity of the overall system.


Journal of the Acoustical Society of America | 2005

Voice input apparatus

Shingo Kiuchi; Kouichi Nakata; Nozomu Saito

The present invention provides a voice input apparatus which can extract an input voice without interrupting a generated background sound. When a talk switch 50 is pushed down, a LMS algorithm processing part 26 stops an update operation of a filter coefficient of an adaptive filter 24 and stores filter coefficient W1 at this moment in a portion for storing filter coefficients 30. A portion for calculating filter coefficients 44 calculates a filter coefficient W2 of a filter 42 to simulate a sound-transmittal line of an audio sound which is produced from a speaker 102 and is input into microphones 10, 12 by means of these stored filter coefficient W1 and various transmittal characteristics CS1, CS2 and the like. By extracting an output signal Y4 of the filter 42 from an output signal Y3 of a portion for eliminating surrounding noise 20 by means of a computing part 46, audio sound components included with an operating voice collected by the microphones 10, 12 are removed.


The Journal of The Acoustical Society of Japan (e) | 1996

Influence of modeling error on noise reduction performance of active noise control systems using filtered-X LMS algorithm

Nozomu Saito; Toshio Sone


Archive | 2003

Acoustic signal processing apparatus and method, and audio device

Tomohiko Ise; Nozomu Saito


The Journal of The Acoustical Society of Japan (e) | 1996

Optimal on-line modeling of primary and secondary paths in active noise control systems.

Nozomu Saito; Toshio Sone; Tomohiko Ise; Masaichi Akiho


Archive | 2001

Adaptive audio equalizer apparatus and method of determining filter coefficient

Tomohiko Ise; Nozomu Saito


Archive | 2006

In-vehicle audio processing apparatus

Toru Marumoto; Shingo Kiuchi; Nozomu Saito


Archive | 2008

Voice Intelligibility Enhancement System and Voice Intelligibility Enhancement Method

Toru Marumoto; Nozomu Saito


Archive | 2003

Speech recognition performance improvement method and speech recognition device

Shingo Kiuchi; Nozomu Saito


Journal of the Acoustical Society of America | 2006

Voice feature extraction device

Shingo Kiuchi; Toshiaki Asano; Nozomu Saito

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