High Performance Telephone Bandwidth Speaker Independent Continuous Digit Recognition
| Venue: | In Proceedings Automatic Speech Recognition and Understanding Workshop, Madonna di Campiglio |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Cosi_highperformance,
author = {Piero Cosi and John-paul Hosom and Alberto Valente},
title = {High Performance Telephone Bandwidth Speaker Independent Continuous Digit Recognition},
booktitle = {In Proceedings Automatic Speech Recognition and Understanding Workshop, Madonna di Campiglio},
year = {},
pages = {9--13}
}
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Abstract
The development of a high-performance telephonebandwidth speaker independent connected digit recognizer for Italian is described. The CSLU Speech Toolkit was used to develop and implement the hybrid ANN/HMM system, which is trained on contextdependent categories to account for coarticulatory variation. Various front-end processing and system architecture were compared and, when the best features (MFCC with CMS + ∆) and network (4-layer fully connected feed-forward network) were considered, there was a 98.92 % word recognition accuracy and a 92.62% sentence recognition accuracy) on a test set of the FIELD continuous digits recognition task. 1.
