Speech Classification

Speech classification aims to automatically categorize audio recordings based on their content, speaker characteristics, or other properties. Current research focuses on improving accuracy and efficiency, exploring techniques like sparse coding algorithms (e.g., adaptive locally competitive algorithms) for low-power neuromorphic hardware and leveraging neural networks to interpret spectrograms and understand the acoustic features driving classification. These advancements are significant for applications ranging from improved speech recognition and assistive technologies to mental health diagnosis and privacy-preserving audio processing.