Zobrazeno 1 - 10
of 401
pro vyhledávání: '"Jones, Rosie"'
Autor:
Garmash, Ekaterina, Tanaka, Edgar, Clifton, Ann, Correia, Joana, Jat, Sharmistha, Zhu, Winstead, Jones, Rosie, Karlgren, Jussi
Publikováno v:
Volume 14163 of Lecture Notes in Computer Science, pages 48-59, Springer, 2023
In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes. We give an overview of how the data was sampled, descriptive statistics over the collection, as well as information about the distribut
Externí odkaz:
http://arxiv.org/abs/2209.11871
Podcasts are conversational in nature and speaker changes are frequent -- requiring speaker diarization for content understanding. We propose an unsupervised technique for speaker diarization without relying on language-specific components. The algor
Externí odkaz:
http://arxiv.org/abs/2207.12504
In this work, we study the association between song lyrics and mood through a data-driven analysis. Our data set consists of nearly one million songs, with song-mood associations derived from user playlists on the Spotify streaming platform. We take
Externí odkaz:
http://arxiv.org/abs/2207.05680
Autor:
Carterette, Ben, Jones, Rosie, Jones, Gareth F., Eskevich, Maria, Reddy, Sravana, Clifton, Ann, Yu, Yongze, Karlgren, Jussi, Soboroff, Ian
Rapidly growing online podcast archives contain diverse content on a wide range of topics. These archives form an important resource for entertainment and professional use, but their value can only be realized if users can rapidly and reliably locate
Externí odkaz:
http://arxiv.org/abs/2108.11460
Autor:
Jones, Rosie, Zamani, Hamed, Schedl, Markus, Chen, Ching-Wei, Reddy, Sravana, Clifton, Ann, Karlgren, Jussi, Hashemi, Helia, Pappu, Aasish, Nazari, Zahra, Yang, Longqi, Semerci, Oguz, Bouchard, Hugues, Carterette, Ben
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators. The great strides in search and recommendation in research an
Externí odkaz:
http://arxiv.org/abs/2106.09227
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 relates linguistic style with listener engagement. In this pa
Externí odkaz:
http://arxiv.org/abs/2106.06605
This paper contains the description of our submissions to the summarization task of the Podcast Track in TREC (the Text REtrieval Conference) 2020. The goal of this challenge was to generate short, informative summaries that contain the key informati
Externí odkaz:
http://arxiv.org/abs/2104.03343