The telephone network presents speech recognition devices with a band-limited, noisy, and, in some cases, distorted speech signal. A series of experiments were performed to quantify the effects of these transformations on two current recognition algorithms: a) an acoustic segmentation algorithm and b) an acoustic classification algorithm. The data used in these experiments are a subset of the TIMIT speech database and a telephone network version of the identical TIMIT utterances (N-TIMIT). In this paper, we present insertion and deletion results for the segmenter (for both conditions, compared to hand transcriptions) as well as patterns observed in segmentation errors as a function of data set. Also presented will be the results of the classification algorithm for both databases.
Cite as: Chigier, B., Urdang, E., Spitz, J. (1989) Analysis of two algorithms for telephone speech recognition. Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989), 1405-1407, doi: 10.21437/Eurospeech.1989-123
@inproceedings{chigier89_eurospeech,
author={Benjamin Chigier and Erik Urdang and Judith Spitz},
title={{Analysis of two algorithms for telephone speech recognition}},
year=1989,
booktitle={Proc. First European Conference on Speech Communication and Technology (Eurospeech 1989)},
pages={1405--1407},
doi={10.21437/Eurospeech.1989-123}
}