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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aragonda, H. Seelamantula, C.S. |
| Copyright Year | 2014 |
| Abstract | 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. |
| Starting Page | 1824 |
| Ending Page | 1834 |
| Page Count | 11 |
| File Size | 2801922 |
| File Format | |
| ISSN | 23299290 |
| Volume Number | 23 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spectrogram Speech Time-frequency analysis Demodulation Transforms Speech processing Narrowband spectro-temporal analysis Amplitude modulation model of spectrograms grating compression transform (GCT) multiband AM-FM Riesz transform sinusoidal demodulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Acoustics and Ultrasonics Signal Processing Instrumentation Speech and Hearing Electrical and Electronic Engineering Computational Mathematics Media Technology |
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