• Title/Summary/Keyword: Pitch Period

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GMM based Speaker Identification using Pitch Information (피치 정보를 이용한 GMM 기반의 화자 식별)

  • Park Taesun;Hahn Minsoo
    • MALSORI
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    • no.47
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    • pp.121-129
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    • 2003
  • This paper describes the use of pitch information for speaker identification. The recognition system is a GMM based one with 4 connected Korean digits speech database. The mean of the pitch period in voiced sections of speech are shown to be ,useful at discriminating between speakers. Utilizing this feature with Gaussian mixture model in the speaker identification system gave a marked improvement, maximum 6% improvement comparing to the baseline Gaussian mixture model.

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Fundamental Frequency Estimation of Voiced Speech Signals Based on the Inflection Point Detection (변곡점 검출에 기반한 음성의 기본 주파수 추정)

  • Byeonggwan Iem
    • Journal of IKEEE
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    • v.27 no.4
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    • pp.472-476
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    • 2023
  • Fundamental frequency/pitch period are major characteristics of speech signals. They are used in many speech applications like speech coding, speech recognition, speaker identification, and so on. In this paper, some of inflection points are used to estimate the pitch which is the inverse of the fundamental frequency. The inflection points are defined as points where local maxima, local minima or the slope changes occur. The speech signal is preprocessed to remove unnecessary inflection points due to the high frequency components using a low pass filter. Only the inflection points from local maxima are used to get the pitch period. While the existing pitch estimation methods process speech signals in blockwise, the proposed method detects the inflection points in sample and produces the pitch period/fundamental frequency estimates along the time. Computer simulation shows the usefulness of the proposed method as a fundamental frequency estimator.

The High Speed Pitch Extraction of Speech Signals Using the Area Comparison Method (면적 비교법에 의한 고속 PITCH 추출)

  • 배명진;안수결
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.2
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    • pp.13-17
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    • 1985
  • In this paper, a new pitch extraction method, the area comparison method, is proposed. By the speech production model, the area of the first peak on a pitch interval of speech signals is emphasized. By using the above characteristics, this method have more advantages than the others for pitch extraction. The defective decision caused by an impulsive noise is minimized and the pre-filtering is not necessary for this method, because the intergration of signals takes place in the process.

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Pitch Modification based on a Voice Source Model (음원 모델에 기초한 합성음의 피치 조절)

  • Choi, Yong-Jin;Yeo, Su-Jin;Kim, Jin-Young;Sung, Koeng-Mo
    • Speech Sciences
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    • v.3
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    • pp.132-147
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    • 1998
  • Previously developed methods for pitch modification have not been based on the voice source model. Therefore, the synthesized speech often sounds unnatural although it may be highly intelligible. The purpose of this paper is to analyze the alteration of a voice source signal with pitch period and to establish the pitch-modification rule based on the result of this analysis. We examine the alteration of the interval of closing phase, closed phase and open phase using the excitation waveform as the pitch increases. In comparison to the previous methods which performed directly on the speech signal, the pitch modification method based on a voice source model shows high intelligibility and naturalness. This study might benefit the application to the speaker identification and the voice color conversion. Therefore the proposed method will provide high quality synthetic speech.

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Flattening Techniques for Pitch Detection (피치 검출을 위한 스펙트럼 평탄화 기법)

  • 김종국;조왕래;배명진
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.381-384
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    • 2002
  • In speech signal processing, it Is very important to detect the pitch exactly in speech recognition, synthesis and analysis. but, it is very difficult to pitch detection from speech signal because of formant and transition amplitude affect. therefore, in this paper, we proposed a pitch detection using the spectrum flattening techniques. Spectrum flattening is to eliminate the formant and transition amplitude affect. In time domain, positive center clipping is process in order to emphasize pitch period with a glottal component of removed vocal tract characteristic. And rough formant envelope is computed through peak-fitting spectrum of original speech signal in frequency domain. As a results, well get the flattened harmonics waveform with the algebra difference between spectrum of original speech signal and smoothed formant envelope. After all, we obtain residual signal which is removed vocal tract element The performance was compared with LPC and Cepstrum, ACF 0wing to this algorithm, we have obtained the pitch information improved the accuracy of pitch detection and gross error rate is reduced in voice speech region and in transition region of changing the phoneme.

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Pitch Estimation Method in an Integrated Time and Frequency Domain by Applying Linear Interpolation (선형 보간법을 이용한 시간과 주파수 조합영역에서의 피치 추정 방법)

  • Kim, Ki-Chul;Park, Sung-Joo;Lee, Seok-Pil;Kim, Moo-Young
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.5
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    • pp.100-108
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    • 2010
  • An autocorrelation method is used in pitch estimation. Autocorrelation values in time and frequency domains, which have different characteristics, correspond to the pitch period and fundamental frequency, respectively. We utilize an integrated autocorrelation method in time and frequency domains. It can remove the errors of pitch doubling and having. In the time and frequency domains, pitch period and fundamental frequency have reciprocal relation to each other. Especially, fundamental frequency estimation ends up as an error because of the resolution of FFT. To reduce these artifacts, interpolation methods are applied in the integrated autocorrelation domain, which decreases pitch errors. Moreover, only for the pitch candidates found in a time domain, the corresponding frequency-domain autocorrelation values are calculated with reduced computational complexity. Using linear interpolation, we can decrease the required number of FFT coefficients by 8 times. Thus, compared to the conventional methods, computational complexity can be reduced by 9.5 times.

The Phoneme Synthesis of Korean CV Mono-Syllables (한국어 CV단음절의 음소합성)

  • 안점영;김명기
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.11 no.2
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    • pp.93-100
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    • 1986
  • We analyzed Korean CV mono-syllables consisted of concatenation of consonants/k, t, p, g/, their fortis and rough sound and vowels/a, e, o, u, I/by the PARCOR technique, and then we synthesized those speech by means of the phoneme synthesis controlling the analyzed data. In the speech analysis, the duration of consonants decreases in the rough sound, the lenis and the fortis in turns. And also the gain of them decreases in the same tendency. The pitch period increases more and more in vowels following the rough sound, the fortis and the lenis in turns. We synthesized the lenis and the fortis by controlling the duration and the gain of the rough sound, and vowels following the fortis and the rough sound by controlling the pitch period and the duration of vowels following the lenis. As the results, the synthesized speech quality is good and we make certain it is possible to make a rule to the phonome synthesis in Korea speech.

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A New Pitch Detection Method Using The WRLS-VFF-VT Algorithm (WRLS-VFF-VT 알고리듬을 이용한 새로운 피치 검출 방법)

  • Lee, Kyo-Sik;Park, Kyu-Sik
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.10
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    • pp.2725-2736
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    • 1998
  • In this paper. we present a new pitch determination method for speech analysis. namely VFF(Variable Forgetting Factor) based. by using the WRLS-VFF-VT(Weighted Recursive Least Square-Variable Forgetting Factor-Variable Threshold) algorithm. A proposed method uses VFF to identify the glottal closure points which correspond to the instants of the main excitation pulses for voiced speech. The modified EGG

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Pitch Extraction of Speech Signals by the Harmonics analysis (고조파 분석에 의한 음성신호의 피치 검출)

  • Kim, Kee-Hee;Choi, Jung-Ah;Bae, Myung-Jin;Ann, Sou-Guil
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1610-1614
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    • 1987
  • The harmonies of the fundamental frequency in speech signal make a minute line spectrum in frequency domain. In this paper, we propose a new algorithm to detect a pitch interval in voiced sound based on the fact that the number of harmonies can represent the period of the pitch in the time domain.

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The Effect of Damping Plate on Mathieu-type Instability of Spar Platform (스파 플랫폼의 Mathieu형 불안정성에 미치는 감쇠판의 영향)

  • Rho, Jun-Bumn;Choi, Hang-Soon
    • Journal of the Society of Naval Architects of Korea
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    • v.42 no.2 s.140
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    • pp.124-128
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    • 2005
  • This paper describes motion stability of a spar platform with and without a damping plate in regular waves. The heave and pitch motion equation is derived in terms of Mathieu equation and the stability diagram is obtained. It is shown that the spar platform with damping plate has smaller unstable region than that without damping plate in the stability diagram. Model tests are carried out to verify the mathematical analysis. Under the condition that the pitch natural period is approximately double the heave natural period and the heave motion is amplified at heave resonance, unstable pitch motions are evoked. However the unstable motion is stabilized in cases of spar platform with damping plate. Therefore the damping plate is an effective device to stabilize the motion of spar platform.