Zobrazeno 1 - 10
of 99
pro vyhledávání: '"variance normalization"'
Autor:
S. Surendran, T. K. Kumar
Publikováno v:
Radioengineering, Vol 26, Iss 4, Pp 1161-1168 (2017)
In this paper, a subspace speech enhancement method handling colored noise using oblique projection is proposed. Perceptual features and variance normalization are used to reduce residual noise and improve speech intelligibility of the output. Initia
Externí odkaz:
https://doaj.org/article/dfadf6e7cff5437f8f37dc66165b341d
Autor:
Bharath K P, Rajesh Kumar M
Publikováno v:
Multimedia Tools and Applications. 79:28859-28883
In current scenario, speaker recognition under noisy condition is the major challenging task in the area of speech processing. Due to noise environment there is a significant degradation in the system performance. The major aim of the proposed work i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0755e85431caaae00fa5aef83f6ab289
https://doi.org/10.1007/s11042-020-09353-z
https://doi.org/10.1007/s11042-020-09353-z
Publikováno v:
Procedia Computer Science. 171:1581-1590
This paper explores the behavior of different normalization techniques viz. cepstral mean normalization, cepstral variance normalization, cepstral mean subtraction. cepstral mean and variance normalization, wiener filter, and spectral subtraction in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1750350d9bc8ad30e4acecab9331be3b
https://doi.org/10.1016/j.procs.2020.04.169
https://doi.org/10.1016/j.procs.2020.04.169
In this chapter, we investigate novel fusion strategies for text-independent speaker identification. In this context, we present four main simulations for speaker identification accuracy (SIA) including different fusion strategies such as feature-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c9cbc39496eecff01e833eb9170bb38
https://doi.org/10.1016/b978-0-12-823898-1.00001-1
https://doi.org/10.1016/b978-0-12-823898-1.00001-1
Autor:
Adam Dustor
Publikováno v:
SPA
The aim of this paper is to present some research on speaker verification system based on Gaussian Mixture Model-Universal Background Model (GMM-UBM) approach. All tests were done for the TIMIT corpus. Performance for the standard Mel-Frequency Cepst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4752eeac1a463ac0e2c126b010a5af5e
https://doi.org/10.23919/spa50552.2020.9241298
https://doi.org/10.23919/spa50552.2020.9241298
Publikováno v:
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence, 3:39. Frontiers Media S.A.
Frontiers in Artificial Intelligence, Vol 3 (2020)
Frontiers in Artificial Intelligence, 3:39. Frontiers Media S.A.
Frontiers in Artificial Intelligence, Vol 3 (2020)
We present an acoustic distance measure for comparing pronunciations, and apply the measure to assess foreign accent strength in American-English by comparing speech of non-native American-English speakers to a collection of native American-English s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32c41885b161a1ed7652907c54317f74
https://hdl.handle.net/11370/371b3a74-9340-4349-b9eb-20e2a0b0508c
https://hdl.handle.net/11370/371b3a74-9340-4349-b9eb-20e2a0b0508c
Publikováno v:
International Journal of Speech Technology. 22:111-119
HMM is regarded as the leader from last five decades for handling the temporal variability in an input speech signal for building automatic speech recognition system. GMM became an integral part of HMM so as to measure the efficiency of each state th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::949e4e8cc58b6a7dfbcffc6c9b42fe7d
https://doi.org/10.1007/s10772-018-09577-3
https://doi.org/10.1007/s10772-018-09577-3
Publikováno v:
Volume: 2, Issue: 2 1-12
Mehmet Akif Ersoy Üniversitesi Uygulamalı Bilimler Dergisi
Mehmet Akif Ersoy Üniversitesi Uygulamalı Bilimler Dergisi
Bu çalışmada Kısa-zamanOrtalama ve Değişinti Normalizasyonu (Short-time Mean and VarianceNormalization - STMVN), Kısa-zaman Sepstral Ortalama ve ÖlçeklendirmeNormalizasyonu (Short-time Cepstral Mean and Scale Normalization - STMSN),Asgari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f9cc3dd89b8081ca22fed1bee0a2da
https://doi.org/10.31200/makuubd.410625
https://doi.org/10.31200/makuubd.410625
Autor:
Dirceu G. da Silva, Csar A. Medina
Publikováno v:
Speech Communication. 94:42-49
This paper presents an evaluation of the Microsoft Research Identity Toolbox version 1.0 developed at Microsoft Research, as a tool for forensic voice comparison under conditions reflecting those of a real forensic case. For this purpose we implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcddb68f3dea8c066f73f1dadb41ebc0
https://doi.org/10.1016/j.specom.2017.09.001
https://doi.org/10.1016/j.specom.2017.09.001
Autor:
Gholamreza Farahani
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2017, Iss 1, Pp 1-16 (2017)
Autocorrelation domain is a proper domain for clean speech signal and noise separation. In this paper, a method is proposed to decrease effects of noise on the clean speech signal, autocorrelation-based noise subtraction (ANS). Then to deal with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::583caa7d3425adc05cb234460b51bebf
http://link.springer.com/article/10.1186/s13636-017-0110-8
http://link.springer.com/article/10.1186/s13636-017-0110-8