Automatic Transcription of Broadcast News Data

This technical report discusses the challenges and methodologies involved in the automatic transcription of broadcast news data. It outlines the pressing need for automation in processing audio data streams, particularly due to the rapid expansion of media sources. The report details the limitations of current manual methods for segmentation, transcription, and indexation, highlighting the potential for automation to reduce costs and improve efficiency. It describes the complexities of transcribing broadcast news, including variations in audio quality and linguistic styles. The report also presents the importance of automatic speech recognition as a key technology for audio and video indexing, emphasizing the need for accurate acoustic and language modeling. Additionally, it addresses the challenges of multilingual indexation and retrieval, particularly in the context of rapidly changing news topics. The report concludes with an overview of the components of a transcription system and the significance of data partitioning for effective transcription.