Výsledky vyhledávání - "Yeshanew Ale Wubet"

Akademický článek

How can we detect news surrounding community safety crisis incidents in the internet? Experiments using attention-based Bi-LSTM models

Autor: Yeshanew Ale Wubet, Kuang-Yow Lian

Publikováno v: International Journal of Information Management Data Insights, Vol 4, Iss 1, Pp 100227- (2024)

Reports related to community safety crisis incidents are being escalated and shared on social media and other online digital platforms. These reports must be addressed quickly to concerned organizations to provide welfare support to individuals and c

Externí odkaz: https://doaj.org/article/af4e3392380947fe9afc166ff23e2f83

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Akademický článek

Intra-Native Accent Shared Features for Improving Neural Network-Based Accent Classification and Accent Similarity Evaluation

Autor: Yeshanew Ale Wubet, Deepak Balram, Kuang-Yow Lian

Publikováno v: IEEE Access, Vol 11, Pp 32176-32186 (2023)

Accent similarity evaluation and accent identification are complex and challenging tasks for various applications due to the existence of variant types of native and non-native languages in the world. The lack of prior research on evaluating similari

Externí odkaz: https://doaj.org/article/ba0a57aee20346d481be7ffe6b4239ca

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Akademický článek

Voice Conversion Based Augmentation and a Hybrid CNN-LSTM Model for Improving Speaker-Independent Keyword Recognition on Limited Datasets

Autor: Yeshanew Ale Wubet, Kuang-Yow Lian

Publikováno v: IEEE Access, Vol 10, Pp 89170-89180 (2022)

Keyword recognition is the basis of speech recognition, and its application is rapidly increasing in keyword spotting, robotics, and smart home surveillance. Because of these advanced applications, improving the accuracy of keyword recognition is cru

Externí odkaz: https://doaj.org/article/2a2d9e7e0c54435fb183ca5a86955f30

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A Hybrid Model of CNN-SVM for Speakers’ Gender and Accent Recognition using English Keywords

Autor: Kuang-Yow Lian, Yeshanew Ale Wubet

Publikováno v: ICCE-TW

Nowadays, the speakers’ accent recognition, speech to text conversion, and their applications are becoming popular research areas all over the world. This paper proposes a hybrid model composed of Convolutional Neural Network (CNN) and Support Vect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d6e12ed6df02347cabe6a56a038935c
https://doi.org/10.1109/icce-tw52618.2021.9603210

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