Low complexity formant estimation adaptive feedback cancellation for hearing aids using pitch based processing

Yi FanChiang*, Cheng Wen Wei, Yi Le Meng, Yu Wen Lin, Shyh-Jye Jou, Tian-Sheuan Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


This paper proposes a novel algorithm and architecture for the adaptive feedback cancellation (AFC) based on the pitch and the formant information for hearing aid (HA) applications. The proposed method, named as Pitch based Formant Estimation (PFE-AFC), has significantly low complexity compared to Prediction Error Method AFC (PEM-AFC). The proposed PFE-AFC consists of a forward and a backward path processing. The forward path processing includes a low complexity pitch based formant estimator for decorrelation filter coefficients update and a pitch based voice activity detector for speech detection, which facilitates the feedback cancellation filter in the backward path to reduce feedback component and maintain speech quality. From system point of view, the PFE-AFC has low complexity overhead since it is easy to share computation resource with other components in the HA system, such as noise reduction and auditory compensation. In addition, the PFE-AFC is suitable for hardware implementation owing to its regular structure. Complexity evaluations show that the PFE-AFC has four orders lower complexity than the PEM-AFC. Simulation results show that the PFE-AFC and the PEM-AFC can achieve similar PESQ (perceptual evaluation speech quality) and ASG (added stable gain). Moreover, the proposed PFE-AFC can outperform the conventional AFC.

Original languageEnglish
Article number2327300
Pages (from-to)1248-1259
Number of pages12
JournalIEEE Transactions on Audio, Speech and Language Processing
Issue number8
StatePublished - 1 Aug 2014


  • Adaptive feedback cancellation
  • Hearing aid application
  • Voice activity detection


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