The 1997 CMU Sphinx-3 English Broadcast News Transcription System

Kristie Seymore, Rosenfeld, Ronald, S. Chen, Maxine Eskénazi, Gouvea, E, Reddy, Raj, Mosur Ravishankar, Matthew Adam Siegler, Richard M. Stern, Eric H. Thayer · 2022

This paper describes the 1997 Hub-4 Broadcast News Sphinx3 speech recognition system. This year’s system includes fullbandwidth acoustic models trained on Broadcast News and Wall Street Journal acoustic training data, an expanded vocabulary, and a 4-gram language model for N-best list rescoring. The system structure, acoustic and language models, and adaptation components are described in detail, and results are presented to establish the contributions of multiple recognition passes. Additionally, experimental results are presented for several different acoustic and language model configurations

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