A phonetic classification for throat microphone enhancement

Turan, M. A. Tugtekin; Erzin, Engin

doi:10.1109/siu.2014.6830559

Cited by 1 publication

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Throat-microphone can be successfully used for speech enhancement [43,44]. In the work [43] proposed a new statistical enhancement system for throat microphone recordings through source and lter separation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic speech segmentation using throat-acoustic correlation coefficients

et al. 2016

View full text Add to dashboard Cite

This work considers one of the approaches to the solution of the task of discrete speech signal automatic segmentation. The aim of this work is to construct such an algorithm which should meet the following requirements: segmentation of a signal into acoustically homogeneous segments, high accuracy and segmentation speed, unambiguity and reproducibility of segmentation results, lack of necessity of preliminary training with the use of a special set consisting of manually segmented signals. Development of the algorithm which corresponds to the given requirements was conditioned by the necessity of formation of automatically segmented speech databases that have a large volume. One of the new approaches to the solution of this task is viewed in this article. For this purpose we use the new type of informative features named TAC-coe cients (Throat-Acoustic Correlation coe cients) which provide su cient segmentation accuracy and eciency.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Experimental results indicate that the proposed phonedependent mappings exhibit enhancements over phoneindependent mappings. Also by the same authors was investigated the e ect of phonetic clustering based on place and manner of articulation for the enhancement of throatmicrophone speech through spectral envelope mapping [44].…”

Section: Introductionmentioning

confidence: 99%