Long Form Audio

Long-form audio processing focuses on efficiently and accurately analyzing and manipulating audio recordings exceeding typical short-segment lengths. Current research emphasizes developing robust models, such as those based on Transformer architectures or convolutional neural networks, that address computational challenges and maintain accuracy in handling lengthy audio data. This field is crucial for applications ranging from improved speech recognition and Alzheimer's disease detection to more sophisticated video-to-audio generation and analysis of naturalistic infant speech recordings. The development of efficient and accurate models for long-form audio is driving advancements in various fields, including healthcare, language processing, and multimedia technologies.