Abstract

In this paper, we summarize systems submitted by PSTL to the evaluation. We ran Meta-Data (MD) on Switchboard (SWB) and Broadcast News (BN) data. Speech-to-text systems were built and tested on both SWB and BN systems with limited real-time constraints. For our first participation, our systems were characterized by low complexity, exploratory operating conditions, and small resources. MD systems served as the segmentation / clustering stage of STT recognizers. Recognizers performed trigram Viterbi decoding with word-internal triphone-models. MLLR adaptation followed optionally. STT results underlined a relatively favourable benchmark on BN and inauspicious SWB evaluation. 1.

Citations