Adaptive line enhancer for nonstationary harmonic noise reduction

Aviva Atkins, Israel Cohen, Jacob Benesty

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a frequency-domain adaptive line enhancer (ALE) to reduce nonstationary harmonic noise, such as medical equipment beeps, from a noisy speech signal captured by a single microphone. The reduction of nonstationary noise is very challenging, with the tradeoff between noise reduction and speech distortion, often resulting with much noise residuals. The proposed ALE is a combination of the commonly-used forward adaptive linear filter and a non-causal backward adaptive linear filter used together with an indicator for the presence of transient noise. The proposed combined filter results in less noise residuals while preserving the speech components. We compare the proposed approach to conventional and recent methods, and show that it can outperform these methods, achieving lower distortion, more noise reduction, and overall better speech quality and intelligibility.
Original languageEnglish
Article number101245
Pages (from-to)101245
Number of pages1
JournalComputer Speech and Language
Volume70
DOIs
StatePublished - 2021

Keywords

  • Adaptive line enhancer
  • Noise reduction
  • Nonstationary noise
  • Single channel
  • Speech enhancement

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Human-Computer Interaction

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