1 citations · 1 across the 4 of their papers we have counts for
4 papers
YMIR: A new Benchmark Dataset and Model for Arabic Yemeni Music Genre Classification Using Convolutional Neural Networks
Moeen AL-Makhlafi, Abdulrahman A. AlKannad, Eiad Almekhlafi +2
Automatic music genre classification is a major task in music information retrieval; however, most current benchmarks and models have been developed primarily for Western music, le…
Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages
Ephrem Afele Retta, Richard Sutcliffe, Jabar Mahmood +6
In a conventional Speech emotion recognition (SER) task, a classifier for a given language is trained on a pre-existing dataset for that same language. However, where training data…
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets
Mustafa Mhamed, Richard Sutcliffe, Xia Sun +3
Arabic sentiment analysis has become an important research field in recent years. Initially, work focused on Modern Standard Arabic (MSA), which is the most widely-used form. Since…
A New Amharic Speech Emotion Dataset and Classification Benchmark
Ephrem A. Retta, Eiad Almekhlafi, Richard Sutcliffe +3
In this paper we present the Amharic Speech Emotion Dataset (ASED), which covers four dialects (Gojjam, Wollo, Shewa and Gonder) and five different emotions (neutral, fearful, happ…