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Fig. 3. Spectrograms comparing the proposed residual echo estimate to the true residual echo.

Figure 3 Spectrograms comparing the proposed residual echo estimate to the true residual echo.

Related Figures (7)

Fig. 1. An AEC system with an adaptive filter w, error recovery nonlinearity, and a postfilter H. Hewlett-Packard Laboratories 1501 Page Mill Road Palo Alto, CA 94304, USA sowon.lee, ton.kalker, ron.schafer} @hp.com
Fig. 1. An AEC system with an adaptive filter w, error recovery nonlinearity, and a postfilter H. Hewlett-Packard Laboratories 1501 Page Mill Road Palo Alto, CA 94304, USA sowon.lee, ton.kalker, ron.schafer} @hp.com
Fig. 2. A block diagram of the psychoacoustic postfilter.
Fig. 2. A block diagram of the psychoacoustic postfilter.
Table 4. PESQ comparison (higher is better).
Table 4. PESQ comparison (higher is better).
Table 2. SSRR comparison (higher is better). Table 3. LSD comparison (lower is better).
Table 2. SSRR comparison (higher is better). Table 3. LSD comparison (lower is better).
fig. 4. Spectrograms comparing the two RES methods.
fig. 4. Spectrograms comparing the two RES methods.
Fig. 5. Comparison of tERLE at 30 dB SSNR.
Fig. 5. Comparison of tERLE at 30 dB SSNR.
Related topics:
Estimation TheorySpeech enhancementSpeech Signal ProcessingAcoustic Echo CancellerNoise Measurement
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