Title :
Performance of the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task
Author :
Bahl, L.R. ; Balakrishnan-Aiyer, S. ; Bellgarda, J.R. ; Franz, M. ; Gopalakrishnan, P.S. ; Nahamoo, D. ; Novak, M. ; Padmanabhan, M. ; Picheny, M.A. ; Roukos, S.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
In this paper we discuss various experimental results using our continuous speech recognition system on the Wall Street Journal task. Experiments with different feature extraction methods, varying amounts and type of training data, and different vocabulary sizes are reported
Keywords :
acoustic signal processing; feature extraction; speech recognition; ARPA Wall Street Journal; IBM large vocabulary continuous speech recognition system; feature extraction methods; performance; training data; vocabulary sizes; Data mining; Feature extraction; Microphones; Spatial databases; Speech recognition; Splicing; Testing; Training data; Vectors; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479268
