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Some acoustic features like F0, F1, F2, F3, and F4 can also be estimated from the simulated speech.
Comparisons of the cepstrum mean square error are made of some known multitaper methods as well as with the parametric autoregressive estimator for simulated speech signals.
Section 4 presents the results of the simulated speech separation experiments, and Section 5 summarizes the proposed method and its future extensions.
The same spectral envelope is calculated from the simulated speech and is compared with the one obtained in the first step to find the difference between them.
Spectrums for original speech (top) and simulated speech with four cost functions ( C F 1 ‒ F 2, Crms, CI-S, and CE-F) under neutral (left column) and stressed (right column) conditions.
Twenty-seven performednts performap map navigation tasks using a simulated speech navigation system in three experimental conditions: instructions containing no landmarks, instructions containing landmarks located without reference to either the traveler's body or the surrounding environment, and instructions containing landmarks located with respect to the traveler's body.
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Table 2 Gain in TIR (dB) (simulated speech-shaped noise).
Figure 3 Cross-power spectra of two types of diffuse noises: simulated speech-shaped noise and real lab noise.
In fact, the simulated speech-shaped noise spectrum was flattened by pre-emphasis, resulting in a loss of SNR of approximately 3 dB.
Original Pre-emphsized Baseline FADF NC-FADF SNR SNR 3 dB 9 dB 15 dB 21 dB 27 dB Table 3 Output SNR (dB) (simulated speech-shaped noise).
Cafeteria BRIRs were also used to simulate speech sources in different directions.
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