상세정보
학술지
English-Korean speech translation corpus (EnKoST-C): Construction procedure and evaluation results
- 발행일
- 202302
- 출처
- ETRI Journal, v.45 no.1, pp.18-27
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 21ZS1100, 자율성장형 복합인공지능 원천기술 연구, 송화전
- 초록
- We present an English?밙orean speech translation corpus, named EnKoST-C. End-to-end model training for speech translation tasks often suffers from a lack of parallel data, such as speech data in the source language and equivalent text data in the target language. Most available public speech translation corpora were developed for European languages, and there is currently no public corpus for English?밙orean end-to-end speech translation. Thus, we created an EnKoST-C centered on TED Talks. In this process, we enhance the sentence alignment approach using the subtitle time information and bilingual sentence embedding information. As a result, we built a 559-h English?밙orean speech translation corpus. The proposed sentence alignment approach showed excellent performance of 0.96 f-measure score. We also show the baseline performance of an English?밙orean speech translation model trained with EnKoST-C. The EnKoST-C is freely available on a Korean government open data hub site.
- KSP 제안 키워드
- Construction procedure, End to End(E2E), European languages, F-measure, Freely available, Government Open Data, Korean speech, Parallel data, Source language, Speech translation, TED talks
본 저작물은 공공누리 제4유형 : 출처표시 + 상업적 이용금지 + 변경금지 조건에 따라 이용할 수 있습니다.
