Searching Podcast Content with PODZINGER
PODZINGER is a search engine that uses speed recognition software to transform the audio into words, making podcast content searchable by text. This engine is built on 30 years of speech recognition research developed at BBN Technologies, Cambridge Massachusetts.
I wonder if popular subjects in technorati are also popular in the podcast world? Here is a quick comparison of the results:
Date/Time: January 10, 2005, 11:31 AM -05:00
- Tag: Macworld
- Technorati: 15,676 posts
- PODZINGER: 220 posts
- Tag: Howard Stern
- Technorati: 18,006 posts
- PODZINGER: 343 posts
I guess podcast is still behind blog in terms of its user base.
Podcasting is behind in the “producer” base. When you search using Podzinger, you are searching audio that someone created.
Text will always be muucccccccccch easier to create then audio.
Comment by Tim Germer — January 10, 2006 @ 12:35 pm
[...] HearHere reminds me of PODZINGER, a podcast search engine developed by BBN Technologies. While both HearHere and PODZINGER exploit speech recognition software to map speech to search-able texts, I wonder exactly how their “magic tricks” differs under the hood? [...]
Pingback by Harry Chen Thinks Aloud - Innovation, Personal Finance, Digital Life, Internet, Technology & Current Affairs » Blog Archive » Plugged.com to offer podcast content search — September 28, 2006 @ 7:11 am