This study presents a novel technique to reconstruct the missing frequency bands of bandlimited telephone speech signals. This technique is based on the Amplitude and Frequency Modulation (AM-FM) model, which models the speech signal as the sum of N successive AM-FM signals. Based on a least-mean-square error criterion, each AM-FM signal is modified using an iterative algorithm in order to regenerate the high-frequency AM-FM signals. These modified signals are then combined in order to reconstruct the broadband speech signal. Experiments were conducted using speech signals extracted from the NTIMIT database. Such experiments demonstrate the ability of the algorithm for speech recovery, in terms of a comparison between the original and synthesized speech and informal listening tests.
Cite as: Tolba, H., O'Shaughnessy, D. (1998) On the application of the AM-FM model for the recovery of missing frequency bands of telephone speech. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0343, doi: 10.21437/ICSLP.1998-551
@inproceedings{tolba98b_icslp,
author={Hesham Tolba and Douglas O'Shaughnessy},
title={{On the application of the AM-FM model for the recovery of missing frequency bands of telephone speech}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0343},
doi={10.21437/ICSLP.1998-551}
}