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pro vyhledávání: '"Do, Quoc Truong"'
Studies on the Named Entity Recognition (NER) task have shown outstanding results that reach human parity on input texts with correct text formattings, such as with proper punctuation and capitalization. However, such conditions are not available in
Externí odkaz:
http://arxiv.org/abs/2010.00198
Autor:
Nguyen, Thai Binh, Nguyen, Quang Minh, Nguyen, Thu Hien, Pham, Ngoc Phuong, Nguyen, The Loc, Do, Quoc Truong
Nowadays, Social network sites (SNSs) such as Facebook, Twitter are common places where people show their opinions, sentiments and share information with others. However, some people use SNSs to post abuse and harassment threats in order to prevent o
Externí odkaz:
http://arxiv.org/abs/1910.05608
Autor:
Nguyen, Binh, Nguyen, Vu Bao Hung, Nguyen, Hien, Phuong, Pham Ngoc, Nguyen, The-Loc, Do, Quoc Truong, Mai, Luong Chi
In recent years, studies on automatic speech recognition (ASR) have shown outstanding results that reach human parity on short speech segments. However, there are still difficulties in standardizing the output of ASR such as capitalization and punctu
Externí odkaz:
http://arxiv.org/abs/1908.02404
Publikováno v:
Oriental COCOSDA 2018
This paper presents a high quality Vietnamese speech corpus that can be used for analyzing Vietnamese speech characteristic as well as building speech synthesis models. The corpus consists of 5400 clean-speech utterances spoken by 12 speakers includi
Externí odkaz:
http://arxiv.org/abs/1904.05569
Publikováno v:
Journal of Computer Science and Cybernetics. 34:335-348
Automatic Speech Recognition (ASR) systems convert human speech into the corresponding transcription automatically. They have a wide range of applications such as controlling robots, call center analytics, voice chatbot. Recent studies on ASR for Eng
Akademický článek
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Publikováno v:
Journal of Computer Science and Cybernetics. 30
Publikováno v:
IEEE-ACM Transactions on Audio, Speech, and Language Processing; October 2018, Vol. 26 Issue: 10 p1873-1883, 11p
Autor:
Do, Quoc Truong, Heck, Michael, Sakti, Sakriani, Neubig, Graham, Toda, Tomoki, Nakamura, Satoshi
Publikováno v:
2015 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU); 1/1/2015, p654-659, 6p
Publikováno v:
2015 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2015, p4959-4963, 5p