PodZinger turns podcasts into text, and then indexes it

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PodZinger turns podcasts into text

March 22, 2006

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If you often listen to or view podcasts, you may want to examine PodZinger a bit more closely.

If you're interested in the latest audio and video search technology you will most likely be interested to know more about PodZinger.

What makes PodZinger different is that the technology does not rely on meta data alone to categorize the podcasts.

PodZinger turns podcasts into text and then indexes it. That way you can search the entire podcast and hope to find a specific segment you are looking for.

The audio is transformed into text with the help of Speech recognition technology from PodZinger’s partner, BBN Technologies.

When you do a podcast search, PodZinger finds the relevant podcasts and also highlights the segment of the audio in which your search term occurred.

By clicking anywhere on the results, the audio will begin to play just where you clicked.

Each item in the search results has controls that let you back up, pause, or forward through the podcast.

Alternatively, you can download the entire podcast if you decide that this what you prefer.

PodZinger isn't alone. There are other very good podcast search engines available today.

I tend to lose patience quickly when searching through very long podcasts. To that end, PodZinger offers hope.

Source: Pandia

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