Spoken Text

Spoken text analysis is a rapidly evolving field focused on understanding and processing human speech, encompassing tasks like automatic speech recognition (ASR), speech translation, and understanding speaker characteristics within conversations. Current research heavily utilizes large language models (LLMs) and transformer architectures, often incorporating multimodal approaches that integrate audio with other data modalities like brain activity or visual cues to improve accuracy and contextual understanding. This work has significant implications for various applications, including improved accessibility for individuals with hearing impairments, more effective public health monitoring through social media analysis, and advancements in human-computer interaction.