Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Anocha Rugchatjaroen"'
Publikováno v:
2021 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7efe8de1e6bba445a5d555c83cbcea51
https://doi.org/10.1109/isai-nlp54397.2021.9678160
https://doi.org/10.1109/isai-nlp54397.2021.9678160
Autor:
Sawit Kasuriya, Sittipong Saychum, Patcharika Chootrakool, Chai Wutiwiwatchai, Sarawoot Kongyoung, Anocha Rugchatjaroen
Publikováno v:
Speech Communication. 106:105-111
Thai grapheme-to-phoneme conversion (G2P) is a challenging task due to its difficulties found by many previous studies. This paper introduces a novel two-stage processing for Thai G2P. The first stage uses Conditional Random Fields (CRF) to segment i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7554fb9223440cf37b3d2064a6e79cb
https://doi.org/10.1016/j.specom.2018.12.003
https://doi.org/10.1016/j.specom.2018.12.003
Publikováno v:
Clinical linguisticsphonetics. 35(9)
Interactive speech audiometry is the assessment of speech comprehension and phonological discrimination through automated means. In order for the performance of such assessments in preschoolers to be successful, the employed list of words and picture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a9e437454a8bd87d138ae92c9edeeca
https://pubmed.ncbi.nlm.nih.gov/33146053
https://pubmed.ncbi.nlm.nih.gov/33146053
Autor:
Suthum Keerativittayanun, Ekachai Phaisangittisagul, Jessada Karnjana, Panuwit Nantasri, Anocha Rugchatjaroen, Sasiporn Usanavasin, Surasak Boonkla, Takahiro Shinozaki
Publikováno v:
2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
Due to the limitation of memory and computational power in the embedded system, this work proposes a novel approach to create a useful set of features for improving speech emotion recognition (SER) system. Typically, Mel Frequency Cepstral Coefficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::647b0cafff76fca57423014bcd3b0d87
https://doi.org/10.1109/ecti-con49241.2020.9158221
https://doi.org/10.1109/ecti-con49241.2020.9158221
Autor:
Anocha Rugchatjaroen, David M. Howard
Publikováno v:
Applied Acoustics. 122:1-7
This research presents the evaluation from applying a Two-Dimensional Rectilinear Digital Waveguide Mesh (2-D RDWM) to model the vocal and nasal tracts for synthesizing the three English nasal consonants /m/, /n/ and /ŋ/. The rectilinear meshing rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df9cb31b06a989ae366e1e80b1eb784
https://doi.org/10.1016/j.apacoust.2017.02.002
https://doi.org/10.1016/j.apacoust.2017.02.002
Autor:
Jessada Karnjana, Kamin Atsavasirilert, Sasiporn Usanavasin, Anocha Rugchatjaroen, Surasak Boonkla, Thanaruk Theeramunkong, Manabu Okumura, Suthum Keerativittayanun
Publikováno v:
2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
At present, speech emotion recognition is a challenging field of studies about emotions of speakers. Speech emotion recognition also enhances interaction between humans and machines. In many situations (e.g. embedded systems), we have to detect emoti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b2ca41ebcd9b342c5f52fae1f6dde3
https://doi.org/10.1109/isai-nlp48611.2019.9045511
https://doi.org/10.1109/isai-nlp48611.2019.9045511
Publikováno v:
2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
This article introduces a Thai questions-answers corpus for a question-answering task which was extracted from Thai Wikipedia which was downloaded on 17 December 2017. The answers comprise 5,000 annotated factoids. The corresponding questions are exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88301e9d7b5eba7a78946c0b32c9c4f6
https://doi.org/10.1109/isai-nlp48611.2019.9045143
https://doi.org/10.1109/isai-nlp48611.2019.9045143
Publikováno v:
O-COCOSDA
Thai toneme prediction has been one of the greatest difficulties for Thai grapheme to phoneme conversion (G2P). This paper presents an improvement in the prediction of linguistic features in terms of tone rules. Among these, there will always be exce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08ff409d51a5a9528583447f56ab7e44
https://doi.org/10.1109/o-cocosda46868.2019.9041212
https://doi.org/10.1109/o-cocosda46868.2019.9041212
Publikováno v:
Recent Advances and Future Prospects in Knowledge, Information and Creativity Support Systems ISBN: 9783319700182
KICSS
KICSS
This paper proposes a new hybrid method of using Conditional Random Fields (CRFs) integrated with three dictionaries for Thai word segmentation. Based on TLex (Thai Lexeme Analyser), a pre-processing phase with an unambiguous list dictionary is added
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94a95b85909875f8922ccf1ebb1c09c1
https://doi.org/10.1007/978-3-319-70019-9_10
https://doi.org/10.1007/978-3-319-70019-9_10
Publikováno v:
APSIPA
This paper presents an improvement of vowel tone modeling from using an idea of generalization of tone contour by sharing F0 probability stream in the conventional HMM-Based Speech Synthesis system. As of the characteristic of parameter-based speech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61ba47d238e321836756ce25ec5c61c5
https://doi.org/10.1109/apsipa.2017.8282192
https://doi.org/10.1109/apsipa.2017.8282192