• Title/Summary/Keyword: MPC

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A Study on LMS-MPC Method Considering Low Bit Rate (Low Bit Rate을 고려한 LMS-MPC 방식에 관한 연구)

  • Lee, See-Woo
    • Journal of Digital Convergence
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    • v.10 no.5
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    • pp.233-238
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    • 2012
  • In a speech coding system using excitation source of voiced and unvoiced, it would be a distortion of speech waveform in case of exist a voiced and an unvoiced consonants in a frame. To solve this problem, this paper present a method of LMS-MPC uses individual pitch and LMS(Least Mean Square). I evaluate the MPC and LMS-MPC using LMS. As a result, SNRseg of LMS-MPC was improved 1.5dB for female voice and 1.3dB for male voice respectively. Compared to the MPC, SNRseg of LMS-MPC has been improved that I was able to control the distortion of the speech waveform finally. And so, I expect to be able to this method for cellular phone and smart phone using excitation source of low bit rate.

An ACLMS-MPC Coding Method Integrated with ACFBD-MPC and LMS-MPC at 8kbps bit rate. (8kbps 비트율을 갖는 ACFBD-MPC와 LMS-MPC를 통합한 ACLMS-MPC 부호화 방식)

  • Lee, See-woo
    • Journal of Internet Computing and Services
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    • v.19 no.6
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    • pp.1-7
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    • 2018
  • This paper present an 8kbps ACLMS-MPC(Amplitude Compensation and Least Mean Square - Multi Pulse Coding) coding method integrated with ACFBD-MPC(Amplitude Compensation Frequency Band Division - Multi Pulse Coding) and LMS-MPC(Least Mean Square - Multi Pulse Coding) used V/UV/S(Voiced / Unvoiced / Silence) switching, compensation in a multi-pulses each pitch interval and Unvoiced approximate-synthesis by using specific frequency in order to reduce distortion of synthesis waveform. In integrating several methods, it is important to adjust the bit rate of voiced and unvoiced sound source to 8kbps while reducing the distortion of the speech waveform. In adjusting the bit rate of voiced and unvoiced sound source to 8 kbps, the speech waveform can be synthesized efficiently by restoring the individual pitch intervals using multi pulse in the representative interval. I was implemented that the ACLMS-MPC method and evaluate the SNR of APC-LMS in coding condition in 8kbps. As a result, SNR of ACLMS-MPC was 15.0dB for female voice and 14.3dB for male voice respectively. Therefore, I found that ACLMS-MPC was improved by 0.3dB~1.8dB for male voice and 0.3dB~1.6dB for female voice compared to existing MPC, ACFBD-MPC and LMS-MPC. These methods are expected to be applied to a method of speech coding using sound source in a low bit rate such as a cellular phone or internet phone. In the future, I will study the evaluation of the sound quality of 6.9kbps speech coding method that simultaneously compensation the amplitude and position of multi-pulse source.

A Study on Multi-Pulse Speech Coding Method by using Individual Pitch Pulses (개별 피치펄스를 이용한 멀티펄스 음성부호화 방식에 관한 연구)

  • 이시우
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.5
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    • pp.977-982
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    • 2004
  • In this paper, I propose a new method of Multi-Pulse Coding(IP-MPC) use individual pitch pulses in order to accommodate the changes in each pitch interval and reduce pitch errors. The extraction rate of individual pitch pulses was 85% for female voice and 96% for male voice respectively. 1 evaluate the MPC by using pitch information of autocorrelation method and the IP-MPC by using individual pitch pulses. As a result, I knew that synthesis speech of the IP-MPC was better in speech quality than synthesis speech of the MPC.

A Study on Multi-Pulse Speech Coding Method by Using Individual Pitch Information (개별 피치정보를 이용한 멀티펄스 음성부호화 방식에 관한 연구)

  • Lee, See-Woo
    • The Journal of the Korea Contents Association
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    • v.6 no.2
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    • pp.59-64
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    • 2006
  • In this paper, 1 propose a new method of Multi-Pulse Coding(IP-MPC) use individual pitch pulses in order to accommodate the changes in each pitch interval and reduce pitch errors. The extraction rate of individual pitch pulses was $85\%$ for female voice and $96\%$ for male voice respectively, 1 evaluate the MPC by using pitch information of autocorrelation method and the IP-MPC by using individual pitch pulses. As a result, 1 knew that synthesis speech of the IP-MPC was better in speech quality than synthesis speech of the MPC.

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Optimizing Recipes of Mung Bean Pancake for Teenagers

  • Lee, Jin-Wha;Shin, Eun-Soo;Ryu, Hong-Soo
    • Preventive Nutrition and Food Science
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    • v.15 no.4
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    • pp.340-347
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    • 2010
  • To standardize the recipes for healthy fast food market potentiality, a sensory acceptability analysis, instrumental texture analysis and nutritional evaluation were performed on Korean style mung bean pancake (MPC) and modified MPC containing squid meat and soybean. Optimal ingredient formulation was revealed to be 34% mung bean, 49% pork and 17% vegetables for traditional MPC, and 21% pork, 66% squid meat and 13% soybean for modified MPC, using response surface methodology. Flavor and hardness correlated highly with overall acceptability, rather than appearance and color of traditional MPC. Higher squid levels raised adhesiveness, springiness and resilience of modified MPC, but the higher soybean levels decreased these textural attributes. Protein, lipid and total calories of modified MPC were lower than those of traditional MPC. Degree of gelatinization of modified MPC was superior to traditional MPC.

MPC: The Pioneer of Korean Contact Center Business

  • Kim, Yongjune;Kim, Hakkyun
    • Asia Marketing Journal
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    • v.15 no.4
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    • pp.213-222
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    • 2014
  • MPC is a specialized CRM company providing one-stop service through contact centers and has built a No. 1 "MPC Brand" in the industry. Founded in 1991, MPC has expanded into CRM solutions and services by launching businesses with database marketing. On Dec. 12, 2005, MPC became listed as the first company in the CRM industry on KOSDAQ. Now, MPC reserves 2,932 seats nationwide. MPC provides inbound/outbound services through various channels, such as phone and e-mail, and analyzes operating results in various aspects to improve services and make suggestions. MPC offers specialized training based on analyses of customers' requirements. Also, MPC develops essential solutions for customer consulting and management. In this case, we describe how MPC succeeded in the Korean market and identify its key success factors. Also, we discuss the issues faced by contact centers and suggest solutions.

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A Study on APC-MPC in 8kbps of Convergence System (융복합 시스템의 8kbps에 있어서 APC-MPC에 관한 연구)

  • Lee, See-Woo
    • Journal of Digital Convergence
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    • v.13 no.7
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    • pp.177-182
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    • 2015
  • In a MPC(Multi-Pulse Coding) using excitation source of voiced and unvoiced, it would be a distortion of voice waveform. This is caused by normalization of synthesis speech waveform of voiced in the process of restoration. To solve this problem, this paper present APC-MPC of amplitude-position compensation in a multi-pulses each pitch interval in order to reduce distortion of synthesis waveform. Also, I was implemented that the APC-MPC in coding system. And I evaluate the SNRseg of APC-MPC in 8kbps coding condition of convergence system. As a result, SNRseg of APC-MPC was 13.9dB for female voice and 14.3dB for male voice respectively. And so, I expect to be able to this method for cellular phone and smart phone using excitation source of low bit rate.

A Study on 8kbps PC-MPC by Using Position Compensation Method of Multi-Pulse (멀티펄스의 위치보정 방법을 이용한 8kbps PC-MPC에 관한 연구)

  • Lee, See-Woo
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.285-290
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    • 2013
  • In a MPC coding using excitation source of voiced and unvoiced, it would be a distortion of speech waveform. This is caused by normalization of synthesis speech waveform of voiced in the process of restoration the multi-pulses of representation section. To solve this problem, this paper present a method of position compensation(PC-MPC) in a multi-pulses each pitch interval in order to reduce distortion of speech waveform. I was confirmed that the method can be synthesized close to the original speech waveform. And I evaluate the MPC and PC-MPC using multi-pulses position compensation method. As a result, $SNR_{seg}$ of PC-MPC was improved 0.4dB for female voice and 0.5dB for male voice respectively. Compared to the MPC, $SNR_{seg}$ of PC-MPC has been improved that I was able to control the distortion of the speech waveform finally. And so, I expect to be able to this method for cellular phone and smart phone using excitation source of low bit rate.

A Study on 8kbps FBD-MPC Method Considering Low Bit Rate (Low Bit Rate을 고려한 8kbps FBD-MPC 방식에 관한 연구)

  • Lee, See-Woo
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.271-276
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    • 2014
  • In a speech coding system using excitation source of voiced and unvoiced, it would be involved a distortion of speech quality in case coexist with a voiced and unvoiced consonants in a frame. In this paper, I propose a method of 8kbps Multi-Pulse Speech Coding(FBD-MPC: Frequency Band Division MPC) by using TSIUVC(Transition Segment Including Unvoiced Consonant) searching, extraction and approximation-synthesis method in a frequency domain. I evaluate the 8kbps MPC and FBD-MPC. As a result, SNRseg of FBD-MPC was improved 0.5dB for female voice and 0.2dB for male voice respectively. Compared to the MPC, SNRseg of FBD-MPC has been improved that I was able to control the distortion of the speech waveform finally. And so, I expect to be able to this method for cellular phone and smart phone using excitation source of low bit rate.

A Study on Multi-Pulse Speech Coding Method by using Selected Information in a Frequency Domain (주파수 영역의 선택정보를 이용한 멀티펄스 음성부호화 방식에 관한 연구)

  • Lee See-Woo
    • Journal of Internet Computing and Services
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    • v.7 no.4
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    • pp.57-66
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    • 2006
  • In this paper, I propose a new method of Multi-Pulse Speech Coding(FBD-MPC: Frequency Band Division MPC) by using TSIUVC(Transition Segment Including UnVoiced Consonant) searching, extraction and approximation-synthesis method in a frequency domain. As, a result. the extraction rates of TSIUVC are 84.8%(plosive), 94.9%(fricative) and 92.3%(affricative) in female voice, 88%(plosive), 94.9%(fricative) and 92.3%(affricative) in male voice respectively. Also, I obtain a high quality approximation-synthesis waveforms within TSIUVC by using frequency information of 0.547kHz below and 2.813kHz above. I evaluate MPC by using switching information of voiced/unvoiced and FBD-MPC by using switching information of voiced/Silence/TSIUVC. As, a result, I knew that synthesis speech of FBD-MPC was better in speech quality than synthesis speech of the MPC.

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