Sentence examples for spoken content from inspiring English sources

Ideally, one would expect to have as many topics as emotion categories, but, variations across speakers, spoken content, and mannerisms cause the number of topics, J, to usually lie between the number of emotions, C, and the dictionary size, K.

Now that there is also a supplementary Spotify for Podcasters service, given that Spotify is now amping up its spoken content with the Gimlet and Anchor acquisitions, that may also start to see a bump in usage.

Augmented Reality technology in the classrooms — from today's tablet- and mobile device-based approach to tomorrow's heads up displays — empower the sort of visual and contextual learning proven to improve information retention to the extent that an estimated 80percentt of visual content is retained by short-term memory compared to an estimated 25percentt for spoken content.

"Guided meditation is a catch-all term for all spoken content that is telling you what's what.

The meeting coincides with the arrival this week of Judith Whelan, a former editor of the Sydney Morning Herald, to take up her new role as the head of spoken content at ABC Radio.

The upheaval will be a bruising start for Judith Whelan, a former editor of the Sydney Morning Herald, who took up her new role as the head of spoken content at ABC Radio only last week.

All these results clearly indicate that designing techniques genuinely targeting spoken contents increase the robustness of spoken document processing to transcription errors.

We propose the use of keywords to characterize spoken contents as keywords offer compact yet accurate semantic description capabilities.

We have proposed a domain-independent method to automatically create a link between transcripts and Web documents, using a keyword-based characterization of spoken contents.

In this section, we exploit a keyword-based representation of spoken contents to create connections between segments resulting from the topic segmentation step or between a segment and related textual resources on the Web.

Still, from the results presented, topic segmentation of spoken contents has reached a level where it can be used as a valuable tool for the automatic delinearization of TV data, however, limiting the use of such techniques to specific program genres where reasonable error rates are achieved and where topic segmentation makes sense.