• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.257-261
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• 2022

본 연구에서는 한국어 AMR 자동 파싱을 하기 위해 seq2seq 방법론을 적용하였다. Seq2seq 방법론은 AMR 파싱 태스크를 자연어 문장을 바탕으로 선형화된(linearization) 그래프의 문자열을 번역해내는 과정을 거친다. 본고는 Transformer 모델을 파싱 모델로 적용하여 2020년 공개된 한국어 AMR와 자체적으로 구축된 한국어 <어린 왕자> AMR 데이터에서 실험을 진행하였다. 이 연구에서 seq2seq 방법론 기반 한국어 AMR 파싱의 성능은 Smatch F1-Score 0.30으로 나타났다.

• Journal of applied mathematics & informatics
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• v.40 no.5_6
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• pp.1105-1115
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• 2022

The main objective of this paper is to introduce the notion of AMR-algebra and its generalization, and to compare them with other algebras such as BCK, BCI, BCH, · · ·, etc. We show moreover that the K-part of AMR-algebra is an abelian group, and the weak AMR-algebra is also an abelian group and generalizes many known algebras like BCI, BCH, and G.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.13-16
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• 2001

본 논문에서는 3GPP 규격에 따른 IMT-2000 시스템용 UE AMR 코덱의 소프트웨어 및 하드웨어 개발에 관하여 논한다 UE AMR 코덱은 ASIC 개발을 고려하여 Teak-Lite DSP 칩을 사용하여 개발하였다 AMR 코덱을 구현하기 위한 효율적인 소프트웨어 개발 기법을 설명하고 하드웨어 디자인도 논한다 개발된 UE AMR 코덱에는 음성 데이터 입출력 기능은 물론 리부 호스트 프로세서와의 통신 기능도 포함된다. Teak-Lite EVM보드를 사용하여 실시간으로 동작하는 AMR 코덱 소프트웨어를 개발하였다. 또한 동시에 UE AMR 코덱용 하드웨어도 개발하였다. ETRI에서 개발 및 시험 중인 IMT-2000 시스템 상에서 개발한 UE AMR 코덱의 동작 및 기능을 검증하였다.

• The Journal of the Acoustical Society of Korea
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• v.20 no.8
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• pp.19-23
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• 2001

DSP-based implementation is pervasive in wireless communication parts for systems and handsets according to developing high-speed and low-power programmable Digital Signal Processor (DSP). In this paper, we present a real-time implementation of multi-channel Adaptive Multi-rate (AMR) speech coder. The real-time implementation of an AMR algorithm is achieved using 32-bit fixed-point TMS320C6202 DSP chip that operates at 250 MHz. We performed cross compile, linear assembly optimization and TMS320C62xx assembly optimization for real-time implementation. Furthermore, speech data input/output function and communication function with external CPU is included in an AMR speech coder. The AMR Speech coder developed using DSP EVM board was evaluated in ETRI IMT-2000 Test-bed system.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.35-41
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• 2020

This paper proposes an algorithm to improve the compression performance of the adaptive multi-rate (AMR) speech coding using the context tree weighting (CTW) method. AMR is the voice encoding standard adopted by IMT-2000, and supports 8 transmission rates from 4.75 kbit/s to 12.2 kbit/s to cope with changes in the channel condition. CTW as a kind of the arithmetic coding, uses a variable-order Markov model. Considering that CTW operates bit by bit, we propose an algorithm that re-orders AMR data and compresses them with CTW. To verify the validity of the proposed algorithm, an experiment is conducted to compare the proposed algorithm with existing compression methods including ZIP in terms of compression ratio. Experimental results indicate that the average additional compression rate in AMR data is about 3.21% with ZIP and about 9.10% with the proposed algorithm. Thus our algorithm improves the compression performance of AMR data by about 5.89%.

• The Journal of the Acoustical Society of Korea
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• v.22 no.4
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• pp.308-314
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• 2003

Wideband speech communications with 7㎑ bandwidth can provide high-quality speech services that are almost impossible with current narrow-band speech communications with 3.4 ㎑ bandwidth, and AMR wideband codec was recently developed for these services. The performance of AMR wideband codec is excellent due to its wideband information and partially to ACELP structure, but it requires high computational complexity especially in codebook search. In this paper, to solve this problem, an efficient codebook search method for AMR wideband codec is proposed. The proposed method first determines the coarse initial codevector, then improves the performance of codevector by replacing a poor pulse in codevector with better one iteratively. Simulations show that AMR wideband codec with proposed codebook search method has higher performance with much less computational cost than conventional AMR wideband codec.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.360-370
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• 2004

Adaptive mesh refinement(AMR) is one of the popular computational simulation techniques used in various scientific and engineering fields. Although AMR data is organized in a hierarchical multi-resolution data structure, traditional volume visualization algorithms such as ray-casting and splatting cannot handle the form without converting it to a sophisticated data structure. In this paper, we present a hierarchical multi-resolution splatting technique using k-d trees and octrees for AMR data that is suitable for implementation on the latest consumer PC graphics hardware. We describe a graphical user interface to set transfer function and viewing / rendering parameters interactively. Experimental results obtained on a general purpose PC equipped with an nVIDIA GeForce3 card are presented to demonstrate that the proposed techniques can interactively render AMR data(over 20 frames per second). Our scheme can easily be applied to parallel rendering of time-varying AMR data.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.10
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• pp.126-133
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• 2008

Computer and communication of based IT technology use to das that remote control, monitoring, measuring automatic gas switch, recloser located far about $20{\sim}30[km]$. For increasing efficiency billing, metering of high voltage customer use to amr system. If between das and amr interface operate when generated fault in high voltage electric equipment of customer part, amr system serve to das quickly in fault information data, correct fault location.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.211-214
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• 2020

Abstract Meaning Representation(AMR)은 문장의 의미를 그래프 구조로 인코딩하여 표현하는 의미 형식표현으로 문장의 각 노드는 사건이나 개체를 취급하는 개념으로 취급하며 간선들은 이러한 개념들의 관계를 표현한다. AMR 파싱은 주어진 문장으로부터 AMR 그래프를 생성하는 자연어 처리 태스크이다. AMR 그래프의 각 개념은 추상 표현으로 문장 내의 토큰과 명시적으로 정렬되지 않는 어려움이 존재한다. 이러한 문제를 해결하기 위해 별도의 사전 학습된 정렬기를 이용하여 해결하거나 별도의 정렬기 없이 Sequence-to-Sequence 계열의 모델로 입력 문장으로부터 그래프의 노드를 생성하는 방식으로 연구되어 왔다. 본 논문에서는 문장의 입력 시퀀스와 부분 생성 그래프 사이에서 반복 추론을 통해 새로운 노드와 기존 노드와의 관계를 구성하여 점진적으로 그래프를 구성하는 모델을 한국어 AMR 데이터 셋에 적용하여 Smatch 점수 39.8%의 실험 결과를 얻었다.

• The Journal of the Acoustical Society of Korea
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• v.24 no.1
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• pp.52-57
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• 2005

The adaptive multirate wideband (AMR-WB) speech coder has an extended audio bandwidth from 50 Hz to 7 kBz and operates on nine speech coding bit-rates from 6.6 to 23.85 kbit/s. In this Paper, we present the real-time implementation of AMR-WB speech coder using 16bit fixed-point TMS320C5509 that has dual MAC units. Firstly, We implemented AMR-WB speech coder in C 1anguage level using intrinsics, and then performed optimization in assembly language. The computational complexity of the implemented AMR-WB coder at 23.85 kbit/s is 42.9 Mclocks. And this coder needs the program memory of 15.1 kwords, data ROM of 9.2 kwords and data RAM of 13.9 kwords.