13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Estimating the Voice Source in Noise

Gang Chen (1), Yen-Liang Shue (2), Jody Kreiman (3), Abeer Alwan (1)

(1) Department of Electrical Engineering, University of California, Los Angeles, CA, USA
(2) Dolby Australia
(3) Department of Head and Neck Surgery, School of Medicine, University of California, Los Angeles, CA, USA

Estimation of the glottal source has applications in many areas of speech processing. Therefore, a noise-robust automatic source estimation algorithm is proposed in this paper. The source signal is estimated using a codebook search approach and formant estimation is not required. The glottal area waveforms extracted from high-speed recordings of the glottis is converted to the glottal flow signals in order to evaluate the performance of the proposed source estimation algorithm. Results in clean and noisy conditions, on average, show that the proposed algorithm provides more accurate estimation than the software toolkit Aparat as well as an earlier approach.

Index Terms: voice source, source estimation, speech analysis

Full Paper

Bibliographic reference.  Chen, Gang / Shue, Yen-Liang / Kreiman, Jody / Alwan, Abeer (2012): "Estimating the voice source in noise", In INTERSPEECH-2012, 1600-1603.