Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Noraini Seman"'
Publikováno v:
Journal of ICT, Vol 20, Iss 4, Pp 489-510 (2021)
Intonation generation in expressive speech such as storytelling is essential to produce high quality Malay language expressive speech synthesizer. Intonation generation, for instance explicit control, has shown good performance in terms of intelligib
Externí odkaz:
https://doaj.org/article/8abb56363ff8422f8646ac6a64527a64
Autor:
Noraini Seman, Zainab Abu Bakar, Nordin Abu Bakar, Haslizatul Fairuz Mohamed, Nur Atiqah Sia Abdullah, Prasanna Ramakrisnan, Sharifah Mumtazah Syed Ahmad
Publikováno v:
Malaysian Journal of Computing, Vol 1, Pp 74-87 (2010)
This paper describes speech recognizer modeling techniques which are suited to high performance and robust isolated word recognition in speaker-independent manner. In this study, a speech recognition system is presented, specifically for an isolated
Externí odkaz:
https://doaj.org/article/ce66a209fc844f168d099ff90e162897
Autor:
Steven Chee Loon, Lim, Chee Peng, Hor, Kim Heng, Tay, Anilawati, Mat Jelani, Wen Hao, Tan, Hong Bee, Ker, Ting Soo, Chow, Masliza, Zaid, Wee Kooi, Cheah, Han Hua, Lim, Khairil Erwan, Khalid, Joo Thye, Cheng, Hazfadzila, Mohd Unit, Noralfazita, An, Azraai Bahari, Nasruddin, Lee Lee, Low, Song Weng Ryan, Khoo, Jia Hui, Loh, Nor Zaila, Zaidan, Suhaila, Ab Wahab, Li Herng, Song, Hui Moon, Koh, Teck Long, King, Nai Ming, Lai, Suresh Kumar, Chidambaram, Kalaiarasu M, Peariasamy, Noraini, Seman
Publikováno v:
JAMA Intern Med
Ivermectin, an inexpensive and widely available antiparasitic drug, is prescribed to treat COVID-19. Evidence-based data to recommend either for or against the use of ivermectin are needed.To determine the efficacy of ivermectin in preventing progres
Stemming is the process to convert words into their root words by the stemming algorithm. It is one of the main processes in text analytics where the text data needs to go through stemming process before proceeding to further analysis. Text analytics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40ae8a0917548386af50ae8d7091181f
https://zenodo.org/record/4507150
https://zenodo.org/record/4507150
Publikováno v:
Advanced Science Letters. 23:4202-4205
Publikováno v:
Journal of Electrical Systems, Vol 11, Iss 3, Pp 308-318 (2015)
Sentence boundary detection (SBD), also known as sentence segmentation decides where a sentence begins and ends. Previous method of SBD is either done by linguistic approach or acoustic approach; or combination of both approaches. Even though linguis
Autor:
Noraini Seman, Nursuriati Jamil
Publikováno v:
ICCS
This paper evaluates the performance of two unsupervised approaches, Maximum Marginal Relevance (MMR) and concept-based global optimization framework for speech summarization. Automatic summarization is very useful techniques that can help the users
Publikováno v:
Procedia Computer Science. 76:417-424
Text-to-speech (TTS) is an important component of robots, humanoids and Internet of Things as a mean of human computer interaction. One of the main components of TTS is text processing that functions as the producer of syllabic speech units to be use
Autor:
Noraini Seman, Ahmad Firdaus Norazam
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 16:283
Speech segmentation is an important part for speech recognition, synthesizing and coding. Statistical based approach detects segmentation points via computing spectral distortion of the signal without prior knowledge of the acoustic information prove
Publikováno v:
2016 IEEE Industrial Electronics and Applications Conference (IEACon).
Face and mouth localization are the vital phase for visual speech recognition. These tasks refer to the detection of the face and mouth region within the viseme images. The main problem in face and mouth localization is the constraints on the image s