Estimation of acoustic microphone vocal tract parameters from throat microphone recordings. Akarguen, U. C. & Erzin, E. In 2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3, pages 747-750, 2007. IEEE. IEEE 15th Signal Processing and Communications Applications Conference, Eskisehir, TURKEY, JUN 11-13, 2007abstract bibtex Recently, joint processing of throat and acoustic microphone recordings has been an attractive tool for robust speech processing. As the throat microphones record the acoustic sounds in the form of vibrations from skin attached sensors, they are more robust and highly correlated with the acoustic speech signal. We investigate the correlation of throat and acoustic microphone recordings. We propose a hidden Markov model (HMM) based structure to estimate acoustic speech features from throat speech features. The HMM based estimator will be used to estimate clean acoustic speech features from noisy throat and acoustic microphone recordings. Experimental results on acoustic speech feature estimation are provided.
@inproceedings{ ISI:000252924600187,
Author = {Akarguen, Uelkue Cagra and Erzin, Engin},
Book-Group-Author = {{IEEE}},
Title = {{Estimation of acoustic microphone vocal tract parameters from throat
microphone recordings}},
Booktitle = {{2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS
1-3}},
Year = {{2007}},
Pages = {{747-750}},
Note = {{IEEE 15th Signal Processing and Communications Applications Conference,
Eskisehir, TURKEY, JUN 11-13, 2007}},
Organization = {{IEEE}},
Abstract = {{Recently, joint processing of throat and acoustic microphone recordings
has been an attractive tool for robust speech processing. As the throat
microphones record the acoustic sounds in the form of vibrations from
skin attached sensors, they are more robust and highly correlated with
the acoustic speech signal. We investigate the correlation of throat and
acoustic microphone recordings. We propose a hidden Markov model (HMM)
based structure to estimate acoustic speech features from throat speech
features. The HMM based estimator will be used to estimate clean
acoustic speech features from noisy throat and acoustic microphone
recordings. Experimental results on acoustic speech feature estimation
are provided.}},
ISBN = {{978-1-4244-0719-4}},
ResearcherID-Numbers = {{Erzin, Engin/H-1716-2011}},
ORCID-Numbers = {{Erzin, Engin/0000-0002-2715-2368}},
Unique-ID = {{ISI:000252924600187}},
}
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