The Development of the 1997 Cmu Spanish Broadcast News Transcription System

This paper describes the 1997 CMU DARPA Hub 4 Spanish Broadcast News Transcription system. The system we present is based on the CMU SPHINX-III recognizer and uses a single set of acoustic and language models. The decoding process is performed in two passes: a Viterbi search and a directed acyclic graph (DAG) search are performed on the first recognition stage. The second recognition stage is similar to the first stage except that it is performed using models adapted through maximumlikelihood linear regression (MLLR). We describe the issues relating to the design and development of the acoustic models, language models and lexicon. Developmental results and an analysis are presented.