Deployment of RASTA-PLP with the Siemens ZT Speech Recognition System
| Title | Deployment of RASTA-PLP with the Siemens ZT Speech Recognition System |
| Publication Type | Technical Report |
| Year of Publication | 1997 |
| Authors | Shire, M. Lee |
| Other Numbers | 1119 |
| Abstract | RelAtive SpecTral Analysis - Perceptual Linear Prediction (RASTA-PLP) is the standard speech feature extraction method used at the International Computer Science Institute. There it has been used primarily in conjunction with a hybrid Artificial Neural Network (ANN) and Hidden Markov Model (HMM) speech recognition system. this work explores the viability of the RASTA-PLP as a candidate feature extraction method in the Siemens ZT recognition system. Experiments with a basic RASTA-PLP setup confirm that it provides good performance and is a potentially useful tool which merits further research and experimentation. |
| URL | http://www.icsi.berkeley.edu/ftp/global/pub/techreports/1997/tr-97-057.pdf |
| Bibliographic Notes | ICSI Technical Report TR-97-057 |
| Abbreviated Authors | M. L. Shire |
| ICSI Publication Type | Technical Report |