Identifying emotion from speech is a non-trivial task pertaining to the ambiguous definition of emotion itself. In this work, we build light-weight multimodal machine learning models and compare it ...

Speech Emotion Recognition (SER) systems often assume congruence between vocal emotion and lexical semantics. However, in real-world interactions, acoustic-semantic conflict is common yet overlooked, ...

On Monday, OpenAI debuted GPT-4o (o for “omni”), a major new AI model that can ostensibly converse using speech in real time, reading emotional cues and responding to visual input. It operates faster ...

Abstract: This paper presents the results of using toolkit Kaldi and library Vosk for training and online recognition of isolated words in Serbian language. Kaldi allows the training of acoustic ...

Healthcare wearables allow researchers to develop various system approaches that recognize and understand the human emotional experience. Previous research has indicated that machine learning ...

Speech emotion recognition is challenging due to the subjectivity and ambiguity of emotion. In recent years, multimodal methods for speech emotion recognition have achieved promising results. However, ...

A library of open datasets for data analytics/machine learning compiled by HackerNoon. Hugging Face offers solutions and tools for developers and researchers. With an open-source library called ...

Abstract: Due to the high level of precision and remarkable capabilities to solve the intricate problems in industry and academia, convolutional neural networks (CNNs) are presented. Speech emotion ...