This paper describes our on-going work on the topic segmentation module of a media watch system. The current version explores not only the typical structure of a broadcast news show, but also its contents, which are automatically produced by the speech recognition module, and the topic indexation module. The performance of the automatic topic segmentation module was compared with the manual seg...

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Many applications such as media monitoring are experiencing a large expansion as a consequence of the different emerging media sources and can benefit dramatically by using automatic transcription of audio data. In this paper, we describe the development of a speech recognition engine, AUDIMUS.MEDIA used in the Broadcast News domain. Additionally we describe recent improvements that permitted a...

Incumbent malfeasance is a major challenge in many developing democracies. However, voters often do not punish malfeasant politicians. We develop a simple model showing that electoral accountability requires that the local media market structure incentivize media stations to report incumbent malfeasance to voters. The model’s predictions are tested in Mexico, where we exploit plausibly exogenou...

This paper addresses recent progress in speaker-independent, large vocabulary, continuous speech recognition, which has opened up a wide range of near and mid-term applications. One rapidly expanding application area is the processing of broadcast audio for information access. At LIMSI, broadcast news transcription systems have been developed for English, French, German, Mandarin and Portuguese...