id:"swepub:oai:DiVA.org:kth-36325"
Search: id:"swepub:oai:DiVA.org:kth-36325" > On noise gain estim...
- 1 of 1
- Previous record
- Next record
- To hitlist
On noise gain estimation for HMM-based speech enhancement
-
- Zhao, David Yuheng (author)
- KTH,Ljud- och bildbehandling
-
- Kleijn, W. Bastiaan (author)
- KTH,Ljud- och bildbehandling
- (creator_code:org_t)
- 2005
- 2005
- English.
- In: 9th European Conference on Speech Communication and Technology. ; , s. 2113-2116
- Conference paper (peer-reviewed)
Abstract
Subject headings
Close
- To address the variation of noise level in non-stationary noise signals, we study the noise gain estimation for speech enhancement using hidden Markov models (HMM). We consider the noise gain as a stochastic process and we approximate the probability density function (PDF) to be log-normal distributed. The PDF parameters are estimated for every signal block using the past noisy signal blocks. The approximated PDF is then used in a Bayesian speech estimator minimizing the Bayes risk for a novel cost function, that allows for an adjustable level of residual noise. As a more computationally efficient alternative, we also derive the maximum likelihood (ML) estimator, assuming the noise gain to be a deterministic parameter. The performance of the proposed gain-adaptive methods are evaluated and compared to two reference methods. The experimental results show significant improvement under noise conditions with time-varying noise energy.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Keyword
- Acoustic noise
- Gain measurement
- Markov processes
- Maximum likelihood estimation
- Probability density function
- Random processes
- Speech recognition
- Bayesian speech estimator
- Gain-adaptive methods
- Hidden Markov models (HMM)
- Maximum likelihood (ML)
- Acoustic signal processing
- Information technology
- Informationsteknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Zhao, David Yuhe ...
- Kleijn, W. Basti ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- Articles in the publication
- 9th European Con ...
- By the university
- Royal Institute of Technology
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
