Introduction Emotion detection from speech and text is an important problem in affective computing with applications in human-computer interaction, sentiment analysis, mental health monitoring, and more. In recent years, deep learning approaches usin...
Introduction Speech emotion recognition (SER) is the task of automatically identifying the emotional state of a speaker from their voice. It has important applications in areas like human-computer interaction, call centers, healthcare, and affective ...
This article will explore the key steps involved in processing sound files for emotion recognition, including reading audio data, extracting relevant
There are two main approaches to analyzing data in statistics: the Data Modeling Culture and the Algorithmic Modeling Culture. Both aim to achieve two primary goals: Prediction: Forecasting responses to future input variables Information: Extractin...
Evaluating the capabilities of large language models (LLMs) involves using a variety of benchmarks that test different aspects of their knowledge, ...
Function-as-a-Service (FaaS) is a serverless way to execute modular pieces of code on the edge, it
