• Title/Summary/Keyword: pitch function

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Pitch Period Detection Algorithm Using Modified AMDF (변형된 AMDF를 이용한 피치 주기 검출 알고리즘)

  • Seo Hyun-Soo;Bae Sang-Bum;Kim Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.1
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    • pp.23-28
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    • 2006
  • Pitch period that is a important factor in speech signal processing is used in various applications such as speech recognition, speaker identification, speech analysis and synthesis. So many pitch detection algorithms have been studied until now. AMDF which is one of pitch period detection algorithms chooses the time interval from valley point to valley point as pitch period. In selection of valley point to detect pitch period, complexity of the algorithm is increased. So in this paper we proposed the simple algorithm using rotation transform of AMDF that detects global minimum valley point as pitch period of speech signal and compared it with existing methods through simulation.

Robust Backward Adaptive Pitch Prediction for Tree Coding (트리 코팅에서 전송에러에 강한 역방향 적응 피치 예측)

  • 이인성
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.8
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    • pp.1587-1594
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    • 1994
  • The pitch predictor is one of the most important part for the robust tree coder. The hybrid backward pitch adapation which is a combination of a block adaptation and a recursive adaptation is used for the pitch predictor. In order to improve the error performance and track the pitch period change of the input speech, it is proposed to smooth the input of the pitch predictor. The smoother with three taps can have fixed coefficients or variable coefficients depending on the estimated autocorrelation function of the output of the pitch synthesizer. The inclusion of a variable smoother can track the pitch period change within a block and reduce the effect of channel errors.

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A Study on Pitch Period Detection of Speech Signal Using Modified AMDF (변형된 AMDF를 이용한 음성 신호의 피치 주기 검출에 관한 연구)

  • Seo, Hyun-Soo;Bae, Sang-Bum;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.515-519
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    • 2005
  • Pitch period that is a important factor in speech signal processing is used in various applications such as speech recognition, speaker identification, speech analysis and synthesis. So many pitch detection algoritms have been studied until now. AMDF which is one of pitch period detection algorithms chooses the time interval from valley point to valley point as pitch period. In selection of valley point to detect pitch period, complexity of the algoritm is increased. So in this paper we proposed the simple algorithm using modified AMDF that detects global minimum valley point as pitch period of speech signal and compared existing methods with it through simulation.

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A Study on Korean and English Speaker Recognitions using the Fuzzy Theory (퍼지 이론을 이용한 한국어 및 영어 화자 인식에 관한 연구)

  • 김연숙;김희주;김경재
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.3
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    • pp.49-55
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    • 2002
  • This paper proposes speaker recognition algorithm which includes both the pitch parameter and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in odor to include time variation width for non-linear utterance time.

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A Study on Korean and Japanese Speaker Recognitions using the Fuzzy Theory (퍼지 이론을 이용한 한국어 및 일어 화자 인식에 관한 연구)

  • 김연숙;김창완
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.3
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    • pp.51-57
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    • 2000
  • This paper proposes speaker recognition algorithm which includes both the pitch and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in order to include time variation width for non-linear utterance time.

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A study on the Pitch Array for reducing Noise (소음 저감을위한 피치 배열에 관한 연구)

  • Choo, K.C.;Choi, S.I.;Lee, H.J.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2009.10a
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    • pp.575-577
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    • 2009
  • Traditionally, tire made a role of function, which is supporting vehicle load, making brake, transferring, traction etc. So, there are a lot of studying for the tire. especially, tire noise is one of the most important parameter in the car noise. this thesis shows the method how to reduce the tire noise by using the optimal pitch sequence. Because the optimal pitch sequence prevents tire from generating the pure tone while driving the car on the ground.

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Wear Characteristics of Plastic Pinion Against Steel Gear for Different Pitch Line Velocities (운전속도에 따른 플라스틱기어의 마멸특성)

  • Kim, Chung-Hyeon;An, Hyo-Seok;Jeong, Tae-Hyeong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.11
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    • pp.1720-1729
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    • 2001
  • Wear characteristics of Nylon and acetal pinions against steel gears for different pitch line velocities was studied with a power circulating gear test rig under unlubricated condition. Specific wear rate was measured as a function of tooth number, module, tooth width and total revolution. The worn tooth surfaces were examined with a profile projector. The Nylon pinion showed lower specific wear rate than the acetal pinion. However, the Nylon pinion was fractured at high tooth loads, whereas the acetal pinion exhibited a steady wear behavior. The wear characteristics of Nylon pinion varied significantly with the Pitch line velocity. Wear occurred most severely at the tooth tip and the region immediately below the pitch line of pinion. The dominant wear mechanisms were adhesion and abrasion.

Investigation of a Speed Control for a Wind Turbin Systsem (풍력발전시스템 속도제어의 실험적 고찰)

  • 임종환;최민호;허종철;김건훈
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.36-36
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    • 2000
  • The paper presents a speed control algorithm for a full pitch-controlled wind turbine system. Torque of a blade generated by wind energy is non-linear function of a wind speed, angular velocity, and pitch angle of the blade. The design of a cor_troller, in general, is performed by linearizing the torque in the vicinity of a operating point assuming the angular velocity of the blade is constant. For speed control, however, the angular velocity is no longer a constant, so that linearization of the torque in terms of a wind speed and pitch angle is impossible. In this study, a reference pitch model is derived in terms of a wind speed, angular velocity, and pitch angle, which makes it possible to design a controller without linearizing the non-linear torque model of the blade. The validity of the algorithm is demonstrated with the results produced through sets of experiments.

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A Study on Number sounds Speaker recognition using the Pitch detection and the Fuzzified pattern (피치 검출과 퍼지화 패턴을 이용한 숫자음 화자 인식에 관한 연구)

  • 김연숙;김희주;김경재
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.3
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    • pp.73-79
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    • 2003
  • This paper proposes speaker recognition algorithm which includes both the pitch detection and the fuzzified pattern matching. This study utilizes pitch pattern using a pitch and speech parameter uses binary spectrum. In this paper. makes reference pattern using fuzzy membership function in order to include time variation width for non-utterance time and performs vocal track recognition of common character using fuzzified pattern matching.

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Low Speed Thrust Characteristics of a Modified Sonic Arc Airfoil Rotor through Spin Test Measurement

  • Lee, Jang-Chang
    • International Journal of Aeronautical and Space Sciences
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    • v.13 no.3
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    • pp.317-322
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    • 2012
  • The low speed aerodynamic characteristics for a modified sonic arc airfoil which is designed by using the nose shape function of sonic arc, the shape function of NACA four-digit wing sections, and Maple are experimentally investigated. The small rotor blades of a modified sonic arc and NACA0012 airfoil are precisely fabricated with a commercially available light aluminum(Al 6061-T6) and are spin tested over a low speed range (3000rpm-5000rpm). In a consuming power comparison, the consuming powers of NACA0012 are higher than that of modified sonic arcs at each pitch angle. The measured rotor thrust for each pitch angle is used to estimate the rotor thrust coefficient according to momentum theory in the hover state. The value of thrust coefficients for both two airfoils at each pitch angle show almost constant values over the low Mach number range. However, the rotor thrust coefficient of NACA0012 is higher than that of the modified sonic arc at each pitch angle. In conclusion, the aerodynamic performance of NACA0012 is better than that of modified sonic arcs in the low speed regime. This test model will provide a convenient platform for improving the aerodynamic performance of small scale airfoils and for performing design optimization studies.