Projects per year
Abstract
Phase-aware signal processing has received increasing interest in many speech applications. The success of phase-aware processing depends strongly on the robustness of the clean spectral phase estimates to be obtained from a noisy observation. In this paper, we propose a novel harmonic phase estimator relying on the phase invariance property exploiting relations between harmonics using the phase structure. We present speech quality results achieved in speech enhancement to justify the effectiveness of the proposed phase estimator compared to noisy phase and other phase estimation benchmarks.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
DOIs | |
Publication status | Published - 19 Jun 2017 |
Event | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing: ICASSP 2017 - New Orleans, United States Duration: 5 Mar 2017 → 9 Mar 2017 |
Conference
Conference | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Country/Territory | United States |
City | New Orleans |
Period | 5/03/17 → 9/03/17 |
Fields of Expertise
- Information, Communication & Computing
Projects
- 1 Finished
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FWF - Phase - Phase-Aware Signal Processing for Speech Transmission
1/10/15 → 31/07/19
Project: Research project