Detail výsledku

Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition

BAHARI, M.; DEHAK, N.; VAN HAMME, H.; BURGET, L.; ALI, A.; GLASS, J. Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition. IEEE-ACM Transactions on Audio Speech and Language Processing, 2014, vol. 2014, no. 7, p. 1117-1129. ISSN: 2329-9290.
Typ
článek v časopise
Jazyk
anglicky
Autoři
Bahari Mohamad
Dehak Najim
Van hamme Hugo
Burget Lukáš, doc. Ing., Ph.D., UPGM (FIT)
Ali Ahmed
Glass Jim
Abstrakt

In this research, a non-negative factor analysis approach is developed for GMM weight decomposition and adaptation. This methods allows for a new low-dimensional utterance representation similar to i-vectors.

Klíčová slova

Non-negative factor analysis; model adaptation; Gaussian mixture model weight; dialect recognition; language recognition

URL
Rok
2014
Strany
1117–1129
Časopis
IEEE-ACM Transactions on Audio Speech and Language Processing, roč. 2014, č. 7, ISSN 2329-9290
DOI
10.1109/TASLP.2014.2319159
UT WoS
000338122000001
EID Scopus
2-s2.0-84904156635
BibTeX 
@article{BUT111657,
  author="Mohamad {Bahari} and Najim {Dehak} and Hugo {Van hamme} and Lukáš {Burget} and Ahmed {Ali} and Jim {Glass}",
  title="Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition",
  journal="IEEE-ACM Transactions on Audio Speech and Language Processing",
  year="2014",
  volume="2014",
  number="7",
  pages="1117--1129",
  doi="10.1109/TASLP.2014.2319159",
  issn="2329-9290",
  url="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6803908"
}
Projekty
DARPA Robustní automatický přepis řeči (RATS) - RATS Patrol I, BBN, zahájení: 2010-09-23, ukončení: 2014-06-30, ukončen
Výzkumné skupiny
Výzkumná skupina dolování dat z řeči BUT Speech@FIT (VZ SPEECH)
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru