The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

Language resources are the main factor in speech-emotion-recognition (SER)-based deep
learning models. Thai is a low-resource language that has a smaller data size than high …

Speech emotion recognition (SER) is an important part of human-computer interaction. SER
face many challenges such as acoustic environment of speech, and the amount of data …

Speech Emotion Recognition (SER) offers a wide range of potential uses, including
strengthening human-computer interaction in virtual reality and gaming settings, enhancing …

Speech interactions and digital assistants rely on effective wake word detection models to
identify predefined words. In this study, we address the need for an efficient wake word …

Speech Emotion Recognition (SER) has a broad variety of potential applications, including
improving human-computer interaction in virtual reality and gaming environments, improving …

Speech has a significant role in sharing thoughts as an emotion-carrier. Speech emotion
recognition has numerous applications in areas such as robots, mobile services, and …

This paper presents a novel approach for identifying the re-citer, sura, and verse of a given
Quranic passage using pre-trained em-bedding models and transfer learning. Our approach …

Self-labeling learning ensemble via deep recurrent neural network and self-representation
for speech emotion recognition Page 1 Accepted manuscript to appear in IJPRAI Accepted …