Evidence map›Paper›PMID 36616925›Full record

ArticleSensors (Basel, Switzerland)2022

A Speech Enhancement Algorithm for Speech Reconstruction Based on Laser Speckle Images.

Xueying Hao, Dali Zhu, Xianlan Wang, Long Yang, Hualin Zeng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xueying HaoGraduate Department, Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China.
Dali ZhuInstitute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China.
Xianlan WangGraduate Department, Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China.
Long YangInstitute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China.
Hualin ZengInstitute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the optical system for reconstructing speech signals based on laser speckle images, the resonance between the sound source and nearby objects leads to frequency response problem, which seriously affects the accuracy of reconstructed speech. In this paper, we propose a speech enhancement algorithm to reduce the frequency response. The results show that after using the speech enhancement algorithm, the frequency spectrum correlation coefficient between the reconstructed sinusoidal signal and the original sinusoidal signal is improved by up to 82.45%, and the real speech signal is improved by up to 56.40%. This proves that the speech enhancement algorithm is a valuable tool for solving the frequency response problem and improving the accuracy of reconstructed speech.

Indexed as

Optical DevicesSpeechAlgorithmsLasersfrequency responsefrequency spectrum correlation coefficientlaser speckle imagespeech enhancement

Identifiers

PMID36616925
PMCPMC9823416

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.