• MALSORI
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• no.46
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• pp.127-143
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• 2003

This paper presents segmental labeling conventions proposed by SiTEC (Speech Information Technology Engineering Center) 2002 and proposes a new directions of a revision for a simpler version. The paper also reviews one of the prosody labelling conventions for Korean, K-ToBI convention(ver. 3.1) and proposes a couple of modifications and suggestions.

• MALSORI
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• no.33_34
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• pp.23-42
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• 1997

This study has two main purposes. One is to explore the relationship between syntactic aspects and prosodic aspects in Standard Korean. The other is to provide speech synthesis with the information about such relationship. This study will focus on the prosodic behavior of subjective particles'-i/-ga', '-eun/-neun'. The prosodic features of subjective particles are described respectively. How do the elements such as the position of particles in a sentence, the sentence constituents, the length of the sentence and the rhythmic boundaries influence on the prosodic behavior are also investigated.

• Proceedings of the KSPS conference
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• 2005.04a
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• pp.67-70
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• 2005

The purpose of this paper is the comparison of the Korean medial fortis duration between Korean native speaker and Japanese native speaker who study Korean language. For this purpose, I selected words with medial fortis from the SITEC DB. The Korean medial fortis of Japanese tends to have longer closure/friction duration than Korean native speakers in 3 syllables words. There are no distinct differences in 2 syllables words. This might be owing to the different timing unit of Korean and Japanese.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.243-246
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• 2007

This paper aims to propose an intonation labeling method using Momel and to present results of analyzing a speech corpus consisting of 80 passages pronounced by 4 speakers (2 male and 2 female) using the proposed method. The results show that Momel works well enough to derive meaningful pitch targets, which could be labeled with H and L tones. On the other hand, the results of the analysis of Korean speech corpus correspond to earlier work.

• MALSORI
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• no.42
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• pp.37-46
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• 2001

Recently speech technologies have shown notable advancements and they now play major roles in computer-aided language learning systems. In the current paper, use of speech recognition technologies is viewed with our system for teaching English pronunciation to Japanese speakers.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.17-28
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• 2000

Recently speech technologies have shown notable advancements and they now play major roles in computer-aided language learning systems. In the current paper, use of speech recognition technologies is viewed with our system for teaching English pronunciation to Japanese speakers.

• Proceedings of the KSPS conference
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• 2006.11a
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• pp.19-23
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• 2006

This paper is for the comparison of prosodic phrasing in Korean spontaneous speech and read speech. For this comparison, The subjects read the transcriptions from their own spontaneous speech. The number of IP in spontaneous speech is more than in read speech, while The number of AP has no difference between them. A accentual phrase in spontaneous speech has less syllable than read speech.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.187-190
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• 2002

본 논문에서는 음성 신호에서 발성 화자가 바뀌는 시점을 자동적으로 찾아내는 화자변화 구간 검출에 대하여 연구하였다. 화자변화 검출을 위해서는 음성 신호에 나타나는 화자 개별성에 의한 차이만 비교해야 하는데 실제 환경에서는 화자들이 동일한 내용의 발성을 하지 않으므로 다른 발성내용에 의한 정보가 포함되어 검출 성능을 저하시킨다. 그러므로 각 화자의 개별특성만 강조되도록 발성내용에 포함된 음성학적 정보의 영향을 제거하는 방법을 통해 검출 성능을 향상시켰다.

• MALSORI
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• no.54
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• pp.73-83
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• 2005

The goal of our research is to build a text-independent speaker identification system that can be used in any condition without any additional adaptation process. The performance of speaker recognition systems can be severely degraded in some unknown mismatched microphone and noise conditions. In this paper, we show that PCA(principal component analysis) can improve the performance in the situation. We also propose an augmented PCA process, which augments class discriminative information to the original feature vectors before PCA transformation and selects the best direction for each pair of highly confusable speakers. The proposed method reduced the relative recognition error by 21%.

• Proceedings of the KSPS conference
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• 2005.11a
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• pp.219-222
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• 2005

본 논문에서는 한국어 TSS 시스템을 위한 언어처리부의 설계 및 구현 과정을 설명한다. 구현된 언어처리부는 형태소 분석, 품사 태깅, 발음 변환 과정을 거쳐, 주어진 문장의 가장 적절한 발음열과 각 음소의 해당 품사를 출력한다. 프로그램은 표준 C언어로 구현되어 있고, Windows와 Linux에서 모두 동작되는 것을 확인하였다. 수동으로 품사가 할당된 4.5만 어절의 코퍼스로부터 형태소 사전을 구축하였으며, 모든 단어가 사전에 등록되어 있다고 가정할 경우, 488문장의 실험 자료에 대해 어절 단위 오류율이 3.25%이었다.