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Demodulation of Narrowband Speech Spectrograms Using the Riesz Transform

Aragonda, Haricharan and Seelamantula, Chandra Sekhar (2015) Demodulation of Narrowband Speech Spectrograms Using the Riesz Transform. In: IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 23 (11). pp. 1824-1834.

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Official URL: http://dx.doi.org/10.1109/TASLP.2015.2449088


We propose a two-dimensional (2-D) multicomponent amplitude-modulation, frequency-modulation (AM-FM) model for a spectrogram patch corresponding to voiced speech, and develop a new demodulation algorithm to effectively separate the AM, which is related to the vocal tract response, and the carrier, which is related to the excitation. The demodulation algorithm is based on the Riesz transform and is developed along the lines of Hilbert-transform-based demodulation for 1-D AM-FM signals. We compare the performance of the Riesz transform technique with that of the sinusoidal demodulation technique on real speech data. Experimental results show that the Riesz-transform-based demodulation technique represents spectrogram patches accurately. The spectrograms reconstructed from the demodulated AM and carrier are inverted and the corresponding speech signal is synthesized. The signal-to-noise ratio (SNR) of the reconstructed speech signal, with respect to clean speech, was found to be 2 to 4 dB higher in case of the Riesz transform technique than the sinusoidal demodulation technique.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Amplitude modulation model of spectrograms; grating compression transform (GCT); multiband AM-FM; Riesz transform; sinusoidal demodulation; spectro-temporal analysis
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Depositing User: Id for Latest eprints
Date Deposited: 09 Oct 2015 04:17
Last Modified: 09 Oct 2015 04:17
URI: http://eprints.iisc.ac.in/id/eprint/52499

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