Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Syed Asif Ahmad Qadri"'
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101392- (2024)
Understanding the influence of crop management practices on maize yield is crucial amidst the changing environmental conditions. Smallholder farming in tropical regions has long puzzled decision-makers in terms of maize management. Balancing alternat
Externí odkaz:
https://doaj.org/article/d0b77e1e24004228902ab9c8b960aa8f
Autor:
Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Mira Kartiwi, Eliathamby Ambikairajah
Publikováno v:
IEEE Access, Vol 9, Pp 47795-47814 (2021)
During the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems. Generally, an SER system targets the speaker’s existence of varied e
Externí odkaz:
https://doaj.org/article/c98d0b9bce484d7eb14d9b0ddde86dd6
Autor:
Eliathamby Ambikairajah, Taiba Majid Wani, Syed Asif Ahmad Qadri, Mira Kartiwi, Teddy Surya Gunawan
Publikováno v:
IEEE Access, Vol 9, Pp 47795-47814 (2021)
During the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems. Generally, an SER system targets the speaker’s existence of varied e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b50c2f0ad27b551098003f26dc47dbb5
https://ieeexplore.ieee.org/document/9383000/
https://ieeexplore.ieee.org/document/9383000/
Autor:
Taiba Majid Wani, Hasmah Mansor, Yasser Asrul Ahmad, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Fatchul Arifin
Publikováno v:
2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA).
Speech Emotion Recognition (SER) recognizes the emotional features of speech signals regardless of semantic content. Deep Learning techniques have proven superior to conventional techniques for emotion recognition due to advantages such as speed and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4590ca87408fea237812207aad92cff
https://doi.org/10.1109/icsima50015.2021.9526320
https://doi.org/10.1109/icsima50015.2021.9526320
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813345966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e68383ced388b0e032838a15abd11b14
https://doi.org/10.1007/978-981-33-4597-3_61
https://doi.org/10.1007/978-981-33-4597-3_61
Autor:
Ali Sophian, Eliathamby Ambikairajah, Teddy Surya Gunawan, Eko Ihsanto, Syed Asif Ahmad Qadri, Hasmah Mansor, Taiba Majid Wani
Publikováno v:
Advances in Robotics, Automation and Data Analytics ISBN: 9783030709167
Speech is the most significant communication mode among human beings and a potential method for human-computer interaction (HCI). Being unparallel in complexity, the perception of human speech is very hard. The most crucial characteristic of speech i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::913ca6226538e5522addb3af567f5a40
https://doi.org/10.1007/978-3-030-70917-4_1
https://doi.org/10.1007/978-3-030-70917-4_1
Autor:
Eko Ihsanto, Syed Asif Ahmad Qadri, Teddy Surya Gunawan, Mira Kartiwi, Taiba Majid Wani, Eliathamby Ambikairajah
Publikováno v:
Advances in Robotics, Automation and Data Analytics ISBN: 9783030709167
The research community’s ever-increasing interest in studying human-computer interactions (HCI), systems deducing, and identifying a speech signal’s emotional aspects has emerged as a hot research topic. Speech Emotion Recognition (SER) has broug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07eda4e5b2f86c6e44dfa3783298505
https://doi.org/10.1007/978-3-030-70917-4_3
https://doi.org/10.1007/978-3-030-70917-4_3
Autor:
Mira Kartiwi, Taiba Majid Wani, Nanang Ismail, Teddy Surya Gunawan, Hasmah Mansor, Syed Asif Ahmad Qadri
Publikováno v:
2020 6th International Conference on Wireless and Telematics (ICWT).
An assortment of techniques has been presented in the area of Speech Emotion Recognition (SER), where the main focus is to recognize the silent discriminants and useful features of speech signals. These features undergo the process of classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8315d47a445b4bf863528650397e6600
https://doi.org/10.1109/icwt50448.2020.9243622
https://doi.org/10.1109/icwt50448.2020.9243622
Autor:
Hasmah Mansor, Mira Kartiwi, Muhammad Fahreza Alghifari, Syed Asif Ahmad Qadri, Teddy Surya Gunawan, Zuriati Janin
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 8
With increased interest of human-computer/human-human interactions, systems deducing and identifying emotional aspects of a speech signal has emerged as a hot research topic. Recent researches are directed towards the development of automated and int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee048e52a470516803fa362fc97f37e6
https://doi.org/10.11591/eei.v8i4.1645
https://doi.org/10.11591/eei.v8i4.1645
Autor:
Zuriati Janin, Mira Kartiwi, Teddy Surya Gunawan, Muhammad Fahreza Alghifari, Syed Asif Ahmad Qadri, Mimi Aminah Wan Nordin
Emotion recognition through speech has many potential applications, however the challenge comes from achieving a high emotion recognition while using limited resources or interference such as noise. In this paper we have explored the possibility of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bb497d26ac2b43950a942edec3a8137
https://zenodo.org/record/4119232
https://zenodo.org/record/4119232