Demo Data from EDBT 2026 / reviewers in the wild / expert
Yi-Le Meng
dblp:142/0357
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › hearing aids › acoustic feedback cancellation
adaptive feedback cancellation |
0.2 | 1 | 2014 | Low Complexity Formant Estimation Adaptive Feedback Cancellation for Hearing Aids Using Pitch Based Processing · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Audio and music processing › speech analysis
formant tracking |
0.2 | 1 | 2014 | Low Complexity Formant Estimation Adaptive Feedback Cancellation for Hearing Aids Using Pitch Based Processing · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Audio and music processing › hearing aids
hearing aid signal processing |
0.2 | 1 | 2014 | Low Complexity Formant Estimation Adaptive Feedback Cancellation for Hearing Aids Using Pitch Based Processing · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Audio and music processing › speech processing
voice activity detection |
0.1 | 1 | 2014 | Low Complexity Formant Estimation Adaptive Feedback Cancellation for Hearing Aids Using Pitch Based Processing · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Methods — techniques the papers use, named apart from their topics
pitch-based processing · 0.2decorrelation filters · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Low Complexity Formant Estimation Adaptive Feedback Cancellation for Hearing Aids Using Pitch Based ProcessingabstractThis 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. Yi FanChiang, Cheng-Wen Wei, Yi-Le Meng, Yu-Wen Lin, Shyh-Jye Jou, Tian-Sheuan Chang |
IEEE ACM Trans. Audio Speech Lang. Process. | 3 |
| 2014 | Correction to "Low complexity formant estimation adaptive feedback cancellation for hearing aids using pitch based processing"abstractIn the above paper (ibid., vol. 22, no. 8, pp.1248-1259, Aug. 2014), Table IV is incorrect. The correct table is presented here. Yi FanChiang, Cheng-Wen Wei, Yi-Le Meng, Yu-Wen Lin, Shyh-Jye Jou, Tian-Sheuan Chang |
IEEE ACM Trans. Audio Speech Lang. Process. | 3 |