| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | Isarn phoneme transcription using statistical model and transcription rule | Janyoi, P. Seresangtakul, P. |
2014 | ||||
| 2. | An Isarn Dialect HMM-based Text-to-speech System | Janyoi, P. Seresangtakul, P. |
2017 | ||||
| 3. | Isarn dialect speech synthesis using HMM with syllable-context features | Janyoi, P. Seresangtakul, P. |
2018 | ||||
| 4. | F-0 Modeling for Isarn Speech Synthesis using Deep Neural Networks and Syllable-level Feature Representation | Pongsathon Janyoi Pusadee Seresangtakul |
2020 | ||||
| 5. | F |
Janyoi, P. Seresangtakul, P. |
2020 | ||||
| 6. | Tonal Contour Generation for Isarn Speech Synthesis Using Deep Learning and Sampling-Based F-0 Representation | Pongsathon Janyoi Pusadee Seresangtakul |
2020 | ||||
| 7. | Tonal contour generation for isarn speech synthesis using deep learning and sampling-based F |
Janyoi, P. Seresangtakul, P. |
2020 | ||||
| 8. | MULTI-CLASS TEXT CLASSIFICATION ON KHMER NEWS ARTICLES USING DEEP LEARNING MODELS WITH OPTIMAL HYPERPARAMETERS | Phann, R. Soomlek, C. Janyoi, P. Seresangtakul, P. |
2024 | ||||
| 9. | EXPLORING FINE-TUNING OF BERT FOR END-TO-END THAI ASPECT-BASED SENTIMENT ANALYSIS | Janyoi, P. Wunnasri, W. Kaewyotha, J. |
2025 | Count | 7 | 0 | 3 | 0 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | รวม | ||||||
| 1. | Isarn phoneme transcription using statistical model and transcription rule | Janyoi, P. Seresangtakul, P. |
2014 |
WIT Transactions on Information and Communication Technologies (59), pp. 337-345 |
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| 2. | An Isarn dialect HMM-based text-to-speech system | Janyoi, P. Seresangtakul, P. |
2017 |
Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017 (2018-January), pp. 1-6 |
||||||||
| 3. | Isarn dialect speech synthesis using HMM with syllable-context features | Janyoi, P. Seresangtakul, P. |
2018 |
ECTI Transactions on Computer and Information Technology 2 (12), pp. 81-89 |
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| 4. | F<inf>0</inf> modeling for isarn speech synthesis using deep neural networks and syllable-level feature representation | Janyoi, P. Seresangtakul, P. |
2020 |
International Arab Journal of Information Technology 6 (17), pp. 906-915 |
||||||||
| 5. | Tonal contour generation for isarn speech synthesis using deep learning and sampling-based F<inf>0</inf> representation | Janyoi, P. Seresangtakul, P. |
2020 |
Applied Sciences (Switzerland) 18 (10), pp. |
||||||||
| 6. | MULTI-CLASS TEXT CLASSIFICATION ON KHMER NEWS ARTICLES USING DEEP LEARNING MODELS WITH OPTIMAL HYPERPARAMETERS | Phann, R. Soomlek, C. Janyoi, P. Seresangtakul, P. |
2024 |
ICIC Express Letters 6 (18), pp. 541-550 |
||||||||
| 7. | EXPLORING FINE-TUNING OF BERT FOR END-TO-END THAI ASPECT-BASED SENTIMENT ANALYSIS | Janyoi, P. Wunnasri, W. Kaewyotha, J. |
2025 |
Icic Express Letters 12 (19), pp. 1393-1400 |
||||||||
| Title | Authors | Year | Journal title |
|---|
| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | รวม | ||||||
| 1. | An Isarn Dialect HMM-based Text-to-speech System | Pongsathon Janyoi Pusadee Seresangtakul |
2017 |
2017 2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY (INCIT) (), pp. 1.0-6.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 2. | F-0 Modeling for Isarn Speech Synthesis using Deep Neural Networks and Syllable-level Feature Representation | Pongsathon Janyoi Pusadee Seresangtakul |
2020 |
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY 6.0 (17.0), pp. 906.0-915.0 |
1 | 0 | 0 | 0 | 0 | 0 | 1 | |
| 3. | Tonal Contour Generation for Isarn Speech Synthesis Using Deep Learning and Sampling-Based F-0 Representation | Pongsathon Janyoi Pusadee Seresangtakul |
2020 |
APPLIED SCIENCES-BASEL 18.0 (10.0), pp. |
2 | 0 | 0 | 0 | 0 | 0 | 2 | |
| Title | Authors | Year | Journal title |
|---|
| ชื่อโครงการ | Authors | ประเภทโครงการ | ปีงบประมาณ | ทุนวิจับ |
|---|