• Title/Summary/Keyword: natural speech

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Designing of Speech DB for Korean Pronunciation Education (한국어 발음 교육을 위한 음성 DB 구축 방안)

  • Jung Myungsook
    • MALSORI
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    • no.47
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    • pp.51-72
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    • 2003
  • The purpose of this paper is to design Speech Database for Korean pronunciation education. For this purpose, I investigated types of speech errors of Korean-learners, made texts for recording, which involves all types of speech errors, and showed how to gather speech data and how to tag their informations. It's natural that speech data should include Korean-learners' speech and Korean people's speech, because Speech DB that I try to develop is for teaching Korean pronunciation to foreigners. So this DB should have informations about speakers and phonetic informations, which are about phonetic value of segments and intonation of sentences. The intonation of sentence varies with the type of sentence, the structure of prosodic units, the length of a prosodic unit and so on. For this reason, Speech DB must involve tags about these informations.

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Current Status and Perspectives of Telepractice in Voice and Speech Therapy (비대면 음성언어치료의 현황과 전망)

  • Seung Jin, Lee
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.33 no.3
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    • pp.130-141
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    • 2022
  • Voice and speech therapy can be performed in various ways depending on the situation, although it is generally performed in a face-to-face manner. Telepractice refers to the provision of specialized voice and speech therapy by speech-language pathologists for assessment, therapy, and counseling by applying telecommunication technology from a remote location. Recently, due to the pandemic situation and the active use of non-face-to-face platforms, interest in telepractice of voice and speech therapy has increased. Moreover, a growing body of literature has been advocating its clinical usefulness and non-inferiority to traditional face-to-face intervention. In this review, the existing discussions, guidelines, and preliminary studies on non-face-toface voice and speech therapy were summarized, and recommendations on the tools for telepractice were provided.

Phonological processes of vowels from orthographic to pronounced words in the Buckeye Corpus by sex and age groups

  • Yang, Byunggon
    • Phonetics and Speech Sciences
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    • v.10 no.2
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    • pp.25-31
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    • 2018
  • This paper investigated the phonological processes of monophthongs and diphthongs in the pronounced words present in the Buckeye Corpus and compared the frequency distribution of these processes by sex and age groups to provide a clearer understanding of spoken English to linguists and phoneticians. Both orthographic and pronounced words were extracted from the transcribed label scripts of the Buckeye Corpus using R. Next, the phonological processes of monophthongs and diphthongs in the orthographic and pronounced labels were tabulated using R scripts, and a frequency distribution by vowel process types, as well as sex and age groups, was created. The results revealed that 95% of the orthographic words contained the same number of syllables, whereas 5% had different numbers of vowels, thereby proving that speakers tend to preserve vowels in spontaneous speech. In addition, deletion processes were preferred in natural speech. Most vowel deletions occurred with an unstressed syllable. Chi-square tests were performed to calculate dependence in the distribution of phonological process types for male and female groups and young and old groups. The results showed a very strong correlation. This finding indicates that vowel processes occurred in approximately the same pattern in natural and spontaneous speech data regardless of sex and age, as well as whether or not the vowel processes were identical. Based on these results, the author concludes that an analysis of phonological processes in spontaneous speech corpora can greatly enhance practical understanding of spoken English.

운율구와 대화체 문장구조의 상관관계에 대한 실험음성학적 연구

  • Seong Cheol-Jae
    • Proceedings of the KSPS conference
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    • 1996.10a
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    • pp.323-332
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    • 1996
  • The current speech technology has been aiming to acquire much clearer and more natural synthetic speech sound. The naturalness can be developed by an adequate phrasing of target sentence, of course, which seems to be strongly related to both syntactic and phonetic aspect simultaneously. The present study aims to describe, at one aspect, the relatedness between syntactic structure and prosodic phrasing through dialogue speech, and at the other, to establish a suitable phrasing pattern with respect to the purpose of acquiring more natural synthetic sound. The prosodic phrase, here, means a prosodic unit which can be clearly identified as having an evident break boundary at its final position in a sentence in the sense of both perceptual and acoustical viewpoint. The end of each prosodic phrase is, accordingly, marked as the point of major boundary in a sentence.

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Effects of Self-monitoring on Initiating Speech Behavior of the Hearing-impaired Preschoolers (자기점검법이 청각장애 유아의 자발적인 말시작 행동에 미치는 영향)

  • Hyun, No-Sang;Kim, Young-Tae
    • Speech Sciences
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    • v.9 no.3
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    • pp.99-112
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    • 2002
  • The purpose of the present study was to investigate the effectiveness of self-monitoring on spontaneously initiating speech behavior of the hearing-impaired preschoolers. Three hearing-impaired preschoolers were selected from a special school for the deaf. They showed some vocalizations and words under intensive instruction settings, but never spontaneously spoke as a means of communication. Multiple probe design was applied in this study. During the self-monitoring intervention, each child was trained to assess whether his own initiating speech behavior was occurred or not, and then record his own behavior's occurrence on the self-recording sheets and self-graphing sheets. The vibration of handphone was used as a tactile cue for self-monitoring. The results of the present study were as follows: (1) self-monitoring significantly increased the percentage of occurrence of spontaneously initiating speech behaviors. (2) Increased level of spontaneously initiating speech behavior were generalized into another natural instruction (cognitive) settings. (3) Increased level of spontaneously initiating speech behavior were maintained after four weeks from the termination of the intervention.

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Comparison of Speech Rate and Long-Term Average Speech Spectrum between Korean Clear Speech and Conversational Speech

  • Yoo, Jeeun;Oh, Hongyeop;Jeong, Seungyeop;Jin, In-Ki
    • Korean Journal of Audiology
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    • v.23 no.4
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    • pp.187-192
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    • 2019
  • Background and Objectives: Clear speech is an effective communication strategy used in difficult listening situations that draws on techniques such as accurate articulation, a slow speech rate, and the inclusion of pauses. Although too slow speech and improperly amplified spectral information can deteriorate overall speech intelligibility, certain amplitude of increments of the mid-frequency bands (1 to 3 dB) and around 50% slower speech rates of clear speech, when compared to those in conversational speech, were reported as factors that can improve speech intelligibility positively. The purpose of this study was to identify whether amplitude increments of mid-frequency areas and slower speech rates were evident in Korean clear speech as they were in English clear speech. Subjects and Methods: To compare the acoustic characteristics of the two methods of speech production, the voices of 60 participants were recorded during conversational speech and then again during clear speech using a standardized sentence material. Results: The speech rate and longterm average speech spectrum (LTASS) were analyzed and compared. Speech rates for clear speech were slower than those for conversational speech. Increased amplitudes in the mid-frequency bands were evident for the LTASS of clear speech. Conclusions:The observed differences in the acoustic characteristics between the two types of speech production suggest that Korean clear speech can be an effective communication strategy to improve speech intelligibility.

Google speech recognition of an English paragraph produced by college students in clear or casual speech styles (대학생들이 또렷한 음성과 대화체로 발화한 영어문단의 구글음성인식)

  • Yang, Byunggon
    • Phonetics and Speech Sciences
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    • v.9 no.4
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    • pp.43-50
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    • 2017
  • These days voice models of speech recognition software are sophisticated enough to process the natural speech of people without any previous training. However, not much research has reported on the use of speech recognition tools in the field of pronunciation education. This paper examined Google speech recognition of a short English paragraph produced by Korean college students in clear and casual speech styles in order to diagnose and resolve students' pronunciation problems. Thirty three Korean college students participated in the recording of the English paragraph. The Google soundwriter was employed to collect data on the word recognition rates of the paragraph. Results showed that the total word recognition rate was 73% with a standard deviation of 11.5%. The word recognition rate of clear speech was around 77.3% while that of casual speech amounted to 68.7%. The reasons for the low recognition rate of casual speech were attributed to both individual pronunciation errors and the software itself as shown in its fricative recognition. Various distributions of unrecognized words were observed depending on each participant and proficiency groups. From the results, the author concludes that the speech recognition software is useful to diagnose each individual or group's pronunciation problems. Further studies on progressive improvements of learners' erroneous pronunciations would be desirable.

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

  • Kang Dong-Gyu;Yi Sionghun;Ryu Won-Ho
    • Proceedings of the KSPS conference
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    • 2002.11a
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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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An Experimental Study on Barging-In Effects for Speech Recognition Using Three Telephone Interface Boards

  • Park, Sung-Joon;Kim, Ho-Kyoung;Koo, Myoung-Wan
    • Speech Sciences
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    • v.8 no.1
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    • pp.159-165
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    • 2001
  • In this paper, we make an experiment on speech recognition systems with barging-in and non-barging-in utterances. Barging-in capability, with which we can say voice commands while voice announcement is coming out, is one of the important elements for practical speech recognition systems. Barging-in capability can be realized by echo cancellation techniques based on the LMS (least-mean-square) algorithm. We use three kinds of telephone interface boards with barging-in capability, which are respectively made by Dialogic Company, Natural MicroSystems Company and Korea Telecom. Speech database was made using these three kinds of boards. We make a comparative recognition experiment with this speech database.

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

  • Kang, Sun-Mee;Kwon, Oh-Il
    • Speech Sciences
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    • v.14 no.2
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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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