• Title/Summary/Keyword: Connected speech

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On Detcdting the Steady State Segments of Speech Waveform by using the Normalized AMDF (규준화된 AMDF 이용한 음성파형의안정상태 구간검출)

  • Bae, Myung-Jin;Kim, Ul-Je;Ahn, Sou-Guil
    • The Journal of the Acoustical Society of Korea
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    • v.10 no.3
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    • pp.44-50
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    • 1991
  • To recognize continued speech, it is necessary to segment the connected acoustic signal into phonetic units. In this paper, as a parameter to detect the transition regions in continued speech, we propose a new noramlized AMDF. The suggested parameter represents a change rate of magnitude of speech signals. As comparing this value with the adjactent frames value the state of the frames can be distinguished as a level between the steady state and transient state.

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Split Model Speech Analysis Techniques for Wideband Speech Signal

  • Park YoungHo;Ham MyungKyu;You KwangBock;Bae MyungJin
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.20-23
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    • 1999
  • In this paper, The Split Model Analysis Algorithm, which can generate the wideband speech signal from the spectral information of narrowband signal, is developed. The Split Model Analysis Algorithm deals with the separation of the $10^{th}$ order LPC model into five cascade-connected $2^{nd}$ order model. The use of the less complex $2^{nd}$ order models allows for the exclusion of the complicated nonlinear relationships between model parameters and all the poles of the LPC model. The relationships between the model parameters and its corresponding analog poles is proved and applied to each $2^{nd}$ order model. The wideband speech signal is obtained by changing only the sampling rate

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Split Model Speech Analysis Techniques for Speech Signal Enhancement

  • Park, Young-Ho;You, Kwang-Bock;Bae, Myung-Jin
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.1135-1138
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    • 1999
  • In this paper, The Split Model Analysis Algorithm, which can generate the wideband speech signal from the spectral information of narrowband signal, is developed. The Split Model Analysis Algorithm deals with the separation of the 10$\^$th/ order LPC model into five cascade-connected 2$\^$nd/ order model. The use of the less complex 2$\^$nd/ order models allows for the exclusion of the complicated nonlinear relationships between model parameters and all the poles of the LPC model. The relationships between the model parameters and its corresponding analog poles is proved and applied to each 2$\^$nd/ order model. The wideband speech signal is obtained by changing only the sampling rate.

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A Preliminary Study on Differences of Phonatory Offset-Onset between the Fluency and a Dysfluency (유창성과 비유창성 화자의 발성 종결-개시 차이에 관한 예비연구)

  • Han Ji-Yeon;Lee Ok-Bun
    • Proceedings of the KSPS conference
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    • 2006.05a
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    • pp.109-112
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    • 2006
  • This study investigated the acoustical characteristics of phonatory offset-onset mechanisms. And this study shows the comparative results between non-stutterers (N=3) and a stutterer (N=1). Phonatory offset-onset means a laryngeal articulatory in the connected speech. In the phonetic context V_V), pattern 0(there is no changes) appeared in all subjects, and pattern 4(this indicate the trace of glottal fry and closure in spectrogram)was only in a Stutterer. In high vowels(/i/, /u/), pattern 3 and 4 appeared only in a stutterer. Although there is no common pattern among the non-stutterers, individual's preference pattern was founded. This study offers the key to an understanding of physiological movement on a block of stutter.

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Development of an algorithm for the control of prosodic factors to synthesize unlimited isolated words in the time domain (시간 영역에서의 무제한 고립어 합성을 위한 운율 요소 제어용 알고리즘 개발)

  • 강찬희
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.35C no.7
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    • pp.59-68
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    • 1998
  • This paper is to develop an algorithm for the unlimited korean speech synthesis. We present the results controlled of prosodic factors with isolated words as aynthesis basis unit int he time domain. With a new pitch-synchronous and parametric speech synthesis mehtod in the time domain here we mainly present the results of controlled prosody factors such a spitch periods, energy envelops and durations and the evaluaton of synthetic speech qualities. In the case of synthesis, it is possible ot synthesize connected words by controlling of a continuous unified prosody that makes to improve the naturalities. In the results of experiment, it also has been to be improved uncontinuities of pitch and zeroing of energy in the junction parts of speech waveforms. Specially it has been to be possible to synthesize speeches with unlimitted durations and tones. So on it makes the noisiness and the clearness better by improving the degradation effects from the phase distortion due to the discontinuities in the waveform connection parts.

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A Study on the Feature Extraction for the Segmentation of Korean Speech (한국어 음성 분할을 위한 특징 검출에 관한 연구)

  • Lee, Geuk;Hwang, Hee-Yeung
    • Proceedings of the KIEE Conference
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    • 1987.11a
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    • pp.338-340
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    • 1987
  • The speech recognition system usually consists of two modules, segmentation module and identification module. So, the performance of the system heavily depends on the segmentation accuracy and the segmentation unit. This paper is concerned with the agreeable features for segmentation in syllables. Total energy and two band width energy. (LE:4000-5000Hz and HE:900-3100Hz) are suitable cues for segmentation. And we testify it through the experiment using connected digit.

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A study on Effective Feature Parameters Comparison for Speaker Recognition (화자인식에 효과적인 특징벡터에 관한 비교연구)

  • Park TaeSun;Kim Sang-Jin;Kwang Moon;Hahn Minsoo
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.145-148
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    • 2003
  • In this paper, we carried out comparative study about various feature parameters for the effective speaker recognition such as LPC, LPCC, MFCC, Log Area Ratio, Reflection Coefficients, Inverse Sine, and Delta Parameter. We also adopted cepstral liftering and cepstral mean subtraction methods to check their usefulness. Our recognition system is HMM based one with 4 connected-Korean-digit speech database. Various experimental results will help to select the most effective parameter for speaker recognition.

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The Effects of Misalignment between Syllable and Word Onsets on Word Recognition in English (음절의 시작과 단어 시작의 불일치가 영어 단어 인지에 미치는 영향)

  • Kim, Sun-Mi;Nam, Ki-Chun
    • Phonetics and Speech Sciences
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    • v.1 no.4
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    • pp.61-71
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    • 2009
  • This study aims to investigate whether the misalignment between syllable and word onsets due to the process of resyllabification affects Korean-English late bilinguals perceiving English continuous speech. Two word-spotting experiments were conducted. In Experiment 1, misalignment conditions (resyllabified conditions) were created by adding CVC contexts at the beginning of vowel-initial words and alignment conditions (non-resyllabified conditions) were made by putting the same CVC contexts at the beginning of consonant-initial words. The results of Experiment 1 showed that detections of targets in alignment conditions were faster and more correct than in misalignment conditions. Experiment 2 was conducted in order to avoid any possibilities that the results of Experiment 1 were due to consonant-initial words being easier to recognize than vowel-initial words. For this reason, all the experimental stimuli of Experiment 2 were vowel-initial words preceded by CVC contexts or CV contexts. Experiment 2 also showed misalignment cost when recognizing words in resyllabified conditions. These results indicate that Korean listeners are influenced by misalignment between syllable and word onsets triggered by a resyllabification process when recognizing words in English connected speech.

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Automatic Speech Recognition Research at Fujitsu (후지쯔에 있어서의 음성 자동인식의 현상과 장래)

  • Nara, Yasuhiro;Kimura, Shinta;Loken-Kim, K.H.
    • The Journal of the Acoustical Society of Korea
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    • v.10 no.1
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    • pp.82-91
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    • 1991
  • The history of automatic speech recognition research, and current and future speech products at Fujitsu are introduced here. The speech recognition research at Fujitsu started in 1970. Our research efforts have results in the production of a speaker dependent 12,000 word discrete / connected word recognizer(F2360), and a speaker independent 17 word discrete word recognizer(F2355L/S). Currently, we are working on a larger vocabulary speech recognizer, in which an input utterance will be matched with networks representing possible phonemic variations. Its application to text input is also discussed.

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acoustic analysis of the aging voice;Baby voice (음성 연령에 대한 음향학적 분석;동음을 중심으로)

  • Kim, Ji-Chae;Han, Ji-Yeon;Jeong, Ok-Ran
    • Proceedings of the KSPS conference
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    • 2006.11a
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    • pp.127-130
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    • 2006
  • The purpose of this study is to examine the difference in acoustic features between Young Voices and Aged Voices, which are actually come from the same age group. The 12 female subjects in their thirties were participated and recorded their sustained vowel /a/, connected speech, and reading. Their voices were divided into Younger Voices and Aged Voices, which means voices sound like younger person and sound like in their age or more aged ones. Praat 4.4.22 was used to record and analyze their acoustic features like Fo, SFF, Jitter, Shimmer, HNR, Pitch-range. And the six female listeners guessed the subjects' age and judged whether they sound younger or as like their actual age. We used the Independent t-Test to find the significant difference between those two groups' acoustic features. The result shows a significant difference in Fo, SFF. The above and the previous studies tell us the group who sounds like younger or baby like voice has the similar acoustic features of actually young people.

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