Phase estimation in single-channel speech enhancement using phase invariance constraints

Michael Pirolt; Johannes Stahl; Pejman Mowlaee Beikzadehmahaleh; Vasili I.  Vorobiov; Siarhei Y.  Barysenka; Andrew G.  Davydov

doi:10.1109/ICASSP.2017.7953225

Phase estimation in single-channel speech enhancement using phase invariance constraints

Michael Pirolt, Johannes Stahl, Pejman Mowlaee Beikzadehmahaleh, Vasili I. Vorobiov , Siarhei Y. Barysenka , Andrew G. Davydov

Institute of Signal Processing and Speech Communication (4420)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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
Title of host publication	2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOIs	https://doi.org/10.1109/ICASSP.2017.7953225
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
Country/Territory	United States
City	New Orleans
Period	5/03/17 → 9/03/17

Fields of Expertise

Information, Communication & Computing

Access to Document

10.1109/ICASSP.2017.7953225

FWF - Phase - Phase-Aware Signal Processing for Speech Transmission
Mowlaee Beikzadehmahaleh, P.
1/10/15 → 31/07/19
Project: Research project

Cite this

Pirolt, M, Stahl, J, Mowlaee Beikzadehmahaleh, P, Vorobiov , VI, Barysenka , SY & Davydov, AG 2017, Phase estimation in single-channel speech enhancement using phase invariance constraints. in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, United States, 5/03/17. https://doi.org/10.1109/ICASSP.2017.7953225

@inproceedings{2f040dba0b2249529ccb53265a23c4f6,

title = "Phase estimation in single-channel speech enhancement using phase invariance constraints",

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.",

author = "Michael Pirolt and Johannes Stahl and {Mowlaee Beikzadehmahaleh}, Pejman and Vorobiov, {Vasili I.} and Barysenka, {Siarhei Y.} and Davydov, {Andrew G.}",

year = "2017",

month = jun,

day = "19",

doi = "10.1109/ICASSP.2017.7953225",

language = "English",

booktitle = "2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

note = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing : ICASSP 2017 ; Conference date: 05-03-2017 Through 09-03-2017",

}

TY - GEN

T1 - Phase estimation in single-channel speech enhancement using phase invariance constraints

AU - Pirolt, Michael

AU - Stahl, Johannes

AU - Mowlaee Beikzadehmahaleh, Pejman

AU - Vorobiov , Vasili I.

AU - Barysenka , Siarhei Y.

AU - Davydov, Andrew G.

PY - 2017/6/19

Y1 - 2017/6/19

N2 - 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.

AB - 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.

U2 - 10.1109/ICASSP.2017.7953225

DO - 10.1109/ICASSP.2017.7953225

M3 - Conference paper

BT - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 5 March 2017 through 9 March 2017

ER -

Phase estimation in single-channel speech enhancement using phase invariance constraints

Abstract

Conference

Fields of Expertise

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Projects

FWF - Phase - Phase-Aware Signal Processing for Speech Transmission

Cite this