• Title/Summary/Keyword: Silence

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Improved ErtPS Scheduling Algorithm for AMR Speech Codec with CNG Mode in IEEE 802.16e Systems (IEEE 802.16e 시스템에서의 CNG 모드 AMR 음성 코덱을 위한 개선된 ErtPS 스케줄링 알고리즘)

  • Woo, Hyun-Je;Kim, Joo-Young;Lee, Mee-Jeong
    • The KIPS Transactions:PartC
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    • v.16C no.5
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    • pp.661-668
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    • 2009
  • The Extended real-time Polling Service (ErtPS) is proposed tosupport QoS of VoIP service with silence suppression which generates variable size data packets in IEEE 802.16e systems. If the silence is suppressed, VoIP should support Comfort Noise Generation (CNG) which generates comfort noise for receiver's auditory sense to notify the status of connection to the user. CNG mode in silent-period generates a data with lower bit rate at long packet transmission intervals in comparison with talk-spurt. Therefore, if the ErtPS, which is designed to support service flows that generate data packets on a periodic basis, is applied to silent-period, resources of the uplink are used inefficiently. In this paper, we proposed the Improved ErtPS algorithm for efficient resource utilization of the silent-period in VoIP traffic supporting CNG. In the proposed algorithm, the base station allocates bandwidth depending on the status of voice at the appropriate interval by havingthe user inform the changes of voice status. The Improved ErtPS utilizes the Cannel Quality Information Channel (CQICH) which is an uplink subchannel for delivering quality information of channel to the base station on a periodic basis in 802.16e systems. We evaluated the performance of proposed algorithm using OPNET simulator. We validated that proposed algorithm improves the bandwidth utilization of the uplink and packet transmission latency

Analysis of Korean Spontaneous Speech Characteristics for Spoken Dialogue Recognition (대화체 연속음성 인식을 위한 한국어 대화음성 특성 분석)

  • 박영희;정민화
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.3
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    • pp.330-338
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    • 2002
  • Spontaneous speech is ungrammatical as well as serious phonological variations, which make recognition extremely difficult, compared with read speech. In this paper, for conversational speech recognition, we analyze the transcriptions of the real conversational speech, and then classify the characteristics of conversational speech in the speech recognition aspect. Reflecting these features, we obtain the baseline system for conversational speech recognition. The classification consists of long duration of silence, disfluencies and phonological variations; each of them is classified with similar features. To deal with these characteristics, first, we update silence model and append a filled pause model, a garbage model; second, we append multiple phonetic transcriptions to lexicon for most frequent phonological variations. In our experiments, our baseline morpheme error rate (WER) is 31.65%; we obtain MER reductions such as 2.08% for silence and garbage model, 0.73% for filled pause model, and 0.73% for phonological variations. Finally, we obtain 27.92% MER for conversational speech recognition, which will be used as a baseline for further study.

Realization a Text Independent Speaker Identification System with Frame Level Likelihood Normalization (프레임레벨유사도정규화를 적용한 문맥독립화자식별시스템의 구현)

  • 김민정;석수영;김광수;정현열
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.1
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    • pp.8-14
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    • 2002
  • In this paper, we realized a real-time text-independent speaker recognition system using gaussian mixture model, and applied frame level likelihood normalization method which shows its effects in verification system. The system has three parts as front-end, training, recognition. In front-end part, cepstral mean normalization and silence removal method were applied to consider speaker's speaking variations. In training, gaussian mixture model was used for speaker's acoustic feature modeling, and maximum likelihood estimation was used for GMM parameter optimization. In recognition, likelihood score was calculated with speaker models and test data at frame level. As test sentences, we used text-independent sentences. ETRI 445 and KLE 452 database were used for training and test, and cepstrum coefficient and regressive coefficient were used as feature parameters. The experiment results show that the frame-level likelihood method's recognition result is higher than conventional method's, independently the number of registered speakers.

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An Examination of the Effectiveness of Crisis Response Strategies for Repairing Competence and Integrity Violations

  • Sung, Yen-yi;Lee, Han-joon;Park, Jong-chul
    • Asia Marketing Journal
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    • v.15 no.1
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    • pp.129-154
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    • 2013
  • Product-harm crises, which are connected to defective or dangerous products, are perceived as the most common threats to a company. Product harm crises can distort long standing favorable equality perceptions, tarnish a company's reputation, cause major revenue and market-share losses, lead to costly product recalls, and devastate a carefully nurtured brand equity. However, in spite of the devastating impact of product-harm crises, little systematic research exists to asses its marketing consequences. So, the purpose of this study is to investigate how Koreans react to the crisis response in the aftermath of different crises(competence violation vs. integrity violation) and inspire additional research in crisis communication. This study has three main findings which run counter to the assumptions of Kim et al.(2007). Namely, the current study expands on the research of Kim et al. (2004, 2007) by examining how companies repair customers' trust and corporate attitude after crises. Different from previous studies, this study assumes that apology for an integrity-based crisis is the most appropriate way to repair consumer trust and corporate attitude. As for competence-based crisis, similarly, apology for competence-based crisis can be more successful repairing consumer trust and corporate attitude. Concerning silence strategy, remaining silent dose not admit or deny guilt right away, but instead of asking the perceiver to withhold judgment, suggesting that, silence could be expected to be superior to apology but inferior to denial. Finally, apology for competence violation will be expected to bemore effective than apology for integrity violation. Research conceptual model was as follows: According to the results, apology is found to be the most effective strategy to repair corporate attitude no matter the crisis is perceived as a violation of competence or integrity. Second, company may consider keeping silent as a desirable response because they does not admit nor deny responsibility but ask the public to withhold judgment. However, the result of this study shows that, in the overall crisis situations, silence strategy did not differ significantly from the denial strategy, which suggested that the public wants explanation instead of uncertainty. Third, there was the interaction effect between crisis type and crisis response strategies. In this study, apology is more effective for the competence violated situation in terms of regaining consumer trust and repairing their attitude toward company, while the apology's effectiveness is lower for the integrity-violated situation. More specifically, when the crisis is perceived due to company's lack of ability(competence violation), consumer's trust belief and attitude toward the company is more easily to repair when the company issued a sincere apology. Damaged product is perceived less intentional so participants are more likely to give the company second chance when they apology to the public. By contrast, exaggerated advertisement(integrity violation) is perceived intentionally and thus makes participants angrier toward the accused company. Although apology is perceived as the most effective strategy, when issuing apology, it also means the company admitted their intention. Therefore, in this kind of crisis situation, trust repair needs not only a sincere apology but additional efforts.

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A Study on the recognition of local name using Spatio-Temporal method (Spatio-temporal방법을 이용한 지역명 인식에 관한 연구)

  • 지원우
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1993.06a
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    • pp.121-124
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    • 1993
  • This paper is a study on the word recognition using neural network. A limited vocabulary, speaker independent, isolated word recognition system has been built. This system recognizes isolated word without performing segmentation, phoneme identification, or dynamic time wrapping. It needs a static pattern approach to recognize a spatio-temporal pattern. The preprocessing only includes preceding and tailing silence removal, and word length determination. A LPC analysis is performed on each of 24 equally spaced frames. The PARCOR coefficients plus 3 other features from each frame is extracted. In order to simplify a structure of neural network, we composed binary code form to decrease output nodes.

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A Fault-Tolerant Duplex Microcontroller Architecture (결함내성형 이중 마이크로콘트롤러 구조)

  • Kim, Byung-Jin;Baek, Seung-Soo;Lee, In-Hwan;Lim, Dong-Jin
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.4
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    • pp.144-151
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    • 2002
  • This paper presents a fault-tolerant duplex architecture to build a high-reliability microcontroller using commercial VLSI processors. The architecture supports fail-silence under all single-failure situations and facilitates recovery from transient failures. The paper implements the duplex architecture using two Motorola MC68360 processors and evaluates its fault tolerance in a real application environment.

Voiced/Unvoiced/Silence Classification of Speech Signal Using Wavelet Transform (웨이브렛 변환을 이용한 음성신호의 유성음/무성음/묵음 분류)

  • 손영호
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.08a
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    • pp.449-453
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    • 1998
  • 일반적으로 음성신호는 파형의 특성에 따라 파형이 준주기적인 유성음과 주기성 없이 잡음과 유사한 무성음 그리고 배경 잡음에 해당하는 묵음의 세 종류로 분류된다. 기존의 유성음/무성음/묵음 분류 방법에서는 피치정보, 에너지 및 영교차율 등이 분류를 위한 파라미터로 널리 사용되었다. 본 논문에서는 음성신호를 웨이브렛 변환한 신호에서 스펙트럼상에서이 변화를 파라미터로 하는 유성음/무성음/묵음 분류 알고리즘을 제안하고 제안된 알고리즘으로 검출한 결과와 이에 따른 문제점을 검토하였다.

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Archlitectural Interpretation of Ronchamp chapel (Ronchamp 성당의 건축해석)

  • Lee, Jeong-Kyu
    • Journal of architectural history
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    • v.6 no.3 s.13
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    • pp.167-182
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    • 1997
  • The process of interpretation comprises the passage from blindness to pre-canonical responses, then the canonical interpretation and its dissemination. and finally silence and oblivion. But oblivion does not necessarily imply the conclusion of the interpretative process of work. A reinterpretation may follow. This study aims at searching the source of reinterpretation of Ronchamp Chapel. I analyzed the canonical interpretation. the site, function, and form of the chapel. I concluded that the contextualism, semiology, regionalism and other architectural conception may be the frame of reference for reinterpretation of Ronchamp Chapel.

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Speech/Silence Discrimination of Noisy Speech (잡음이 섞인 음성에서의 음성/무언의 구별)

  • 은종관;김현수
    • The Journal of the Acoustical Society of Korea
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    • v.3 no.1
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    • pp.36-42
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    • 1984
  • 본 논문에서는 음성이 백색 Gaussian 잡음에 섞여 있을 때 음성의 유무를 구별하는 방법에 관해 서 연구되었다 제안된 방법은 음성과 무언이 입력신호의 에너지와 자기상관함수의 합에 의해서 구별된 다. 에너지의 threshold 치는 입력되는 잡음음성의 에너지와 자기상관함수를 비교함으로써 적응되도록 하였다. 이 방법을 시험하기 위해서 잡음이 없는 음성, 0, 10, 및 20 dB의 잡음이 섞인 음성을 사용하여 computer simulation을 하였다. SNR이 20dB일 때 구별의 오차율은 2%로 나왔다.

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