Content recommender systems often rely on modeling users' past behavioral data to provide
personalized recommendations-a practice that works well for suggesting more of the same …

Advances in generative AI, the proliferation of large multimodal models (LMMs), and
democratized open access to these technologies have direct implications for the production …

Video podcast teasers are short videos that can be shared on social media platforms to
capture interest in full episodes of a video podcast. These teasers enable long-form …

While there is an abundance of popular writing targeted to podcast creators on how to speak
in ways that engage their listeners, there has been little data-driven analysis of podcasts that …

Podcasts are conversational in nature and speaker changes are frequent--requiring speaker
diarization for content understanding. We propose an unsupervised technique for speaker …

Podcasts have emerged as a massively consumed online content, notably due to wider
accessibility of production means and scaled distribution through large streaming platforms …

The increasing diffusion of smart speakers results in substantial challenges for news
publishers. Voice-based formats–especially news podcasts–gain significant importance via …

Listeners of long-form talk-audio content, such as podcast episodes, often find it challenging
to understand the overall structure and locate relevant sections. A practical solution is to …

Podcasts are spoken documents that, in recent years, have gained widespread popularity.
Despite the growing research interest in this domain, conducting user studies remains …

This paper describes how an existing collection of podcast material has been enriched with
precomputed audio features. The feature set which is described in the paper is made …