• 제목/요약/키워드: Speech Synthesis

검색결과 381건 처리시간 0.026초

가상현실을 위한 합성얼굴 동영상과 합성음성의 동기구현 (Synchronizationof Synthetic Facial Image Sequences and Synthetic Speech for Virtual Reality)

  • 최장석;이기영
    • 전자공학회논문지S
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    • 제35S권7호
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    • pp.95-102
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    • 1998
  • This paper proposes a synchronization method of synthetic facial iamge sequences and synthetic speech. The LP-PSOLA synthesizes the speech for each demi-syllable. We provide the 3,040 demi-syllables for unlimited synthesis of the Korean speech. For synthesis of the Facial image sequences, the paper defines the total 11 fundermental patterns for the lip shapes of the Korean consonants and vowels. The fundermental lip shapes allow us to pronounce all Korean sentences. Image synthesis method assigns the fundermental lip shapes to the key frames according to the initial, the middle and the final sound of each syllable in korean input text. The method interpolates the naturally changing lip shapes in inbetween frames. The number of the inbetween frames is estimated from the duration time of each syllable of the synthetic speech. The estimation accomplishes synchronization of the facial image sequences and speech. In speech synthesis, disk memory is required to store 3,040 demi-syllable. In synthesis of the facial image sequences, however, the disk memory is required to store only one image, because all frames are synthesized from the neutral face. Above method realizes synchronization of system which can real the Korean sentences with the synthetic speech and the synthetic facial iage sequences.

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The Optimum Fuzzy Vector Quantizer for Speech Synthesis

  • Lee, Jin-Rhee-;Kim, Hyung-Seuk-;Ko, Nam-kon;Lee, Kwang-Hyung-
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1321-1325
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    • 1993
  • This paper investigates the use of Fuzzy vector quantizer(FVQ) in speech synthesis. To compress speech data, we employ K-means algorithm to design codebook and then FVQ technique is used to analysize input speech vectors based on the codebook in an analysis part. In FVQ synthesis part, analysis data vectors generated in FVQ analysis is used to synthesize the speech. We have fined that synthesized speech quality depends on Fuzziness values in FVQ, and the optimum fuzziness values maximized synthesized speech SQNR are related with variance values of input speech vectors. This approach is tested on a sentence, and we compare synthesized speech by a convensional VQ with synthesized speech by a FVQ with optimum Fuzziness values.

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분산형 시스템을 적용한 음성합성에 관한 연구 (A Study on Speech Synthesizer Using Distributed System)

  • 김진우;민소연;나덕수;배명진
    • 한국음향학회지
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    • 제29권3호
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    • pp.209-215
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    • 2010
  • 최근 광대역 무선 통신망의 보급과 소형 저장매체의 대용량화로 인하여 이동형 단말기가 주목 받고 있다. 이로 인해 이동형 단말기에 문자정보를 청취할 수 있도록 문자를 음성으로 변환해 주는 TTS(Text-to-Speech) 기능이 추가되고 있다. 사용자의 요구사항은 고음질의 음성합성이지만 고음질의 음성합성은 많은 계산량이 필요하기 때문에 낮은 성능의 이동형 단말기에 는 적합하지 않다. 본 논문에서 제안하는 분산형 음성합성기 (DTTS)는 고음질 음성합성이 가능한 코퍼스 기반 음성합성 시스템을 서버와 단말기로 나누어 구성한다. 서버 음성합성 시스템은 단말기에서 전송된 텍스트를 데이터베이스 검색 후 음성파형 연결정보를 생성하여 단말기로 전송하고, 단말기 음성합성 시스템은 서버 음성합성 시스템에서 생성된 음성파형 연결정보와 단말기에 존재하는 데이터베이스를 이용하여 간단한 연산으로 고음질 합성음을 생성할 수 있는 시스템이다. 제안하는 분산형 합성기는 단말기에서의 계산량을 줄여 저가의 CPU 사용, 전력소모의 감소, 효율적인 유지보수를 할 수 있도록 하는 장점이 있다.

Implementation and Evaluation of an HMM-Based Speech Synthesis System for the Tagalog Language

  • ;김경태;김종진
    • 대한음성학회지:말소리
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    • 제68권
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    • pp.49-63
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    • 2008
  • This paper describes the development and assessment of a hidden Markov model (HMM) based Tagalog speech synthesis system, where Tagalog is the most widely spoken indigenous language of the Philippines. Several aspects of the design process are discussed here. In order to build the synthesizer a speech database is recorded and phonetically segmented. The constructed speech corpus contains approximately 89 minutes of Tagalog speech organized in 596 spoken utterances. Furthermore, contextual information is determined. The quality of the synthesized speech is assessed by subjective tests employing 25 native Tagalog speakers as respondents. Experimental results show that the new system is able to obtain a 3.29 MOS which indicates that the developed system is able to produce highly intelligible neutral Tagalog speech with stable quality even when a small amount of speech data is used for HMM training.

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최소 자승법을 이용한 TSIUVC 근사합성법에 관한 연구 (A Study on TSIUVC Approximate-Synthesis Method using Least Mean Square)

  • 이시우
    • 정보처리학회논문지B
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    • 제9B권2호
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    • pp.223-230
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    • 2002
  • 유성음원과 무성음원을 사용하는 음성부호화 방식에 있어서, 같은 프레임 안에 모음과 무성자음이 있는 경우에 음성 파형에 일그러짐이 나타난다. 본 논문에서는 최소 자승법을 적용한 새로운 TSIVUC 근사합성법을 제시하였다. 이 방법에서 TSlUVC의 추출에는 zero crossing rate과 FIR-STREAK 필터의 잔차신호를 이용한 개별피치 추출 알고리즘을 사용하였다. 실험결과, 최소 자승법을 적용하여 양호한 TSIUVC 근사합성 파형을 얻을 수 있었다. 또한 최대 오타신호에 있어서의 주파수 신호가 일그러짐이 적은 근사합성 파형에 중요한 역할을 한다는 것이다. 이 방법은 음성합성, 음성분석, 새로운 Voiced/Silence/TSIUVC의 음성부호화 방식에 활용할 수 있을 것으로 기대된다.

고품질 음성합성을 위한 합성 DB 구축 (Speech Database Design and Structuring for High Quality TTS)

  • 강동규;이승훈;류원호
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2002년도 11월 학술대회지
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    • pp.33-36
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    • 2002
  • As the telematics service that is the integration of information technology approaches commercialization, the necessity and gravity of speech technology is rapidly growing. The speech technology occupies important position in the telematics service because it informs the starting of service and the retrieved result. This service must provide high accuracy of speech recognition and natural synthesis of human speech in a driving environment and it is especially true for the fee-for-service. For high quality TTS, the speech synthesis technique that makes optimal synthesis database and uses efficiently this database is required. In this paper, we describe the design of phonetically balanced sentences used for speech database, the selection of service-suitable-speaker, the extraction methods of accurate phoneme boundary, and the factors which are taken into consideration in the extraction stage of prosody. Finally we show the real case that has commercially implemented.

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한국어 음성합성기의 운율 예측을 위한 의사결정트리 모델에 관한 연구 (A Study of Decision Tree Modeling for Predicting the Prosody of Corpus-based Korean Text-To-Speech Synthesis)

  • 강선미;권오일
    • 음성과학
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    • 제14권2호
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    • pp.91-103
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    • 2007
  • The purpose of this paper is to develop a model enabling to predict the prosody of Korean text-to-speech synthesis using the CART and SKES algorithms. CART prefers a prediction variable in many instances. Therefore, a partition method by F-Test was applied to CART which had reduced the number of instances by grouping phonemes. Furthermore, the quality of the text-to-speech synthesis was evaluated after applying the SKES algorithm to the same data size. For the evaluation, MOS tests were performed on 30 men and women in their twenties. Results showed that the synthesized speech was improved in a more clear and natural manner by applying the SKES algorithm.

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혼합 위상 정보를 이용한 TTS 합성음 생성 알고리즘 (Speech Synthesis Algorithm Using Mixed Phase Information for TTS Systems)

  • 권철홍;이민규
    • 음성과학
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    • 제8권4호
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    • pp.35-43
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    • 2001
  • New speech synthesis algorithms capable of flexible prosody (especially F0) modification are desired for a high quality TTS system. TD-PSOLA is the most popular synthesis algorithm. The algorithm shows very high quality when F0 modification is limited. However, the quality degradation due to pitch epoch detection error becomes severe as the F0 modification factor becomes large. On the other hand, the vocoder framework is very flexible in F0 manipulation. The synthesized speech quality from the vocoder is far from natural human speech and suffers from buzziness. To remedy the buzzy quality from the vocoder and make more natural synthetic speech, we propose a mixed phase vocoder.

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A STUDY ON THE SPEECH SYNTHESIS-BY-RULE SYSTEM APPLIED MULTIBAND EXCITATION SIGNAL

  • Kyung, Younjeong;Kim, Geesoon;Lee, Hwangsoo;Lee, Yanghee
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
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    • pp.1098-1103
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    • 1994
  • In this paper, we design and implement the Korean speech synthesis by rule system. This system is applied the multiband excitation signal on voiced sounds. The multiband excitation signal is obtained by mixing impluse spectrum and which noise spectrum. We find that the quality of synthesized speech is improved using this application. Also, we classify the voiced sounds by cepstral euclidian distance measure for reducing overhead memory. The representative excitation signal of the same group's voiced sounds is used as excitation signal on synthesis. This method does not affect the quality of synthesized speech. As the result of experiment, this method eliminates the "buzziness" of synthesized speech and reduces the spectral distortion of synthesized speech.ed speech.

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LMS를 이용한 TSIUVC의 음성신호처리에 관한 연구 (A Study on Speech Signal Processing of TSIUVC using Least Mean Square)

  • 이시우
    • 한국산학기술학회논문지
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    • 제7권6호
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    • pp.1175-1179
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    • 2006
  • 유성음원과 무성음원을 사용하는 음성부호화 방식에 있어서, 프레임 안에 모음과 무성자음이 있는 경우에 음성 파형에 일그러짐이 나타난다. 본 논문에서는 LMS를 적용한 새로운 TSIUVC 근사합성법을 제시하였다. 실험결과, LMS를 적용하여 양호한 TSRIVC 근사합성 파형을 얻을 수 있었으며, 오차신호가 일그러짐이 적은 근사합성 파형에 중요한 역할을 한다는 것을 알 수 있었다. 이 방법은 음성합성, 음성분석, 새로운 Voiced/Silence/TSIUVC의 음성부호화 방식에 활용할 수 있을 것으로 기대된다.

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