Podcasts are a large and growing repository of spoken audio. As an audio format, podcasts
are more varied in style and production type than broadcast news, contain more genres than …

Advances in formulating spoken document retrieval for a new National Gallery of the Spoken
Word (NGSW) are addressed. NGSW is the first large-scale repository of its kind, consisting …

Most speech summarization research is conducted on broadcast news. In our viewpoint,
spontaneous conversations are a more “typical” speech source that distinguishes speech …

In this paper we leverage methods from submodular function optimization developed for
document summarization and apply them to the problem of subselecting acoustic data. We …

Recently, there have been significant advances in several areas of language technology,
including clustering, text categorization, and summarization. However, efforts to combine …

Increasing amounts of public, corporate, and private speech data are now available on-line.
These are limited in their usefulness, however, by the lack of tools to permit their browsing …

With the growth of the social media service of Twitter, automatic summarization of Twitter
messages (tweets) is in urgent need for efficient processing of the massive tweeted …

Several approaches to automatic speech summarization are discussed below, using the
ICSI Meetings corpus. We contrast feature-based approaches using prosodic and lexical …

As the amount of on-line information increases, systems that can automatically summarize
one or more documents become increasingly desirable. Recent research has investigated …

Speech media, that is, digital audio and video containing spoken content, has blossomed in
recent years. Large collections are accruing on the Internet as well as in private and …