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 ...

Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API. Easy-to-use Speech Toolkit including ...

The early screening of depression is highly beneficial for patients to obtain better diagnosis and treatment. While the effectiveness of utilizing voice data for depression detection has been ...

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 ...

While speech biomarkers of disease have attracted increased interest in recent years, a challenge is that features derived from signal processing or machine learning approaches may lack clinical ...

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

Emotions have long been considered a unique human trait, but recent advances in Artificial Intelligence (AI) have led to an increasing interest in the incorporation of emotional intelligence into ...

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 ...

HAMILTON, Ohio —When Michael Secrest walks into the store to run errands — he’s usually doing it with a four-foot ball python wrapped around his neck. The snake goes everywhere with Michael Secrest, ...