Continuous speech recognition using PLP analysis with multilayer perceptrons
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (15206149) , 49-52 vol.1
- https://doi.org/10.1109/icassp.1991.150275
Abstract
The authors investigate the use of continuous features derived by perceptual linear predictive (PLP) analysis, examine the effect of adding temporal features, and compare it to the previously studied use of multiframe input. Comparisons of the MLP (multilayer perceptron) and conventional Gaussian classifiers are also reported. The speaker-dependent portion of the Resource Management database was used for this test. Additionally, some experiments were performed with a perplexity-2200 speaker-independent recognition task on a subset of the TIMIT database. In each case, the PLP features were used as input to the networks. The experiments show the advantage of continuous PLP features and their first and second temporal derivatives.<>Keywords
This publication has 9 references indexed in Scilit:
- Speaker-independent isolated word recognition based on emphasized spectral dynamicsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- 1000-word speaker-independent continuous-speech recognition using hidden Markov modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The RAP: a ring array processor for layered network calculationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust speaker-independent word recognition using static, dynamic and acceleration features: experiments with Lombard and noisy speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Continuous speech recognition using multilayer perceptrons with hidden Markov modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Perceptual linear predictive (PLP) analysis of speechThe Journal of the Acoustical Society of America, 1990
- Speech pattern discrimination and multilayer perceptronsComputer Speech & Language, 1989
- Automatic Speech RecognitionPublished by Springer Nature ,1989
- Parallel Distributed ProcessingPublished by MIT Press ,1986