In this paper, we describe a public web service, "PodCastle", that provides full-text searching of Japanese podcasts on the basis of automatic speech recognition. This is an instance of our research approach, " Speech Recognition Research 2.0", which is aimed at providing users with a web service based on Web 2.0 so that they can experience state-of-the-art speech recognition performance, and at promoting speech recognition technologies in cooperation with anonymous users. PodCastle enables users to find podcasts that include a search term, read full texts of their recognition results, and easily correct recognition errors. The results of the error correction can then be used to improve the performance of both full-text search and speech recognition. Although we know of no state-of-the-art speech recognizer that can successfully transcribe all of the various kinds of podcasts, the mechanism we propose will gradually increase the usefulness and applicability of PodCastle.
Audio-Visual Demo Demonstration movie (8 MB) of PodCastle, the world's first public web service for full-text search of Japanese-language podcasts
Bibliographic reference. Goto, Masataka / Ogata, Jun / Eto, Kouichirou (2007): "Podcastle: a web 2.0 approach to speech recognition research", In INTERSPEECH-2007, 2397-2400.