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Poblete V, Espic F, King S, Stern RM, Huenupán F, Fredes J, Yoma NB. A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification. COMPUT SPEECH LANG 2015. [DOI: 10.1016/j.csl.2014.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Ashwini JK, Kumaraswamy R. Single-Channel Speech Enhancement Techniques for Distant Speech Recognition. JOURNAL OF INTELLIGENT SYSTEMS 2013. [DOI: 10.1515/jisys-2012-0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
AbstractThis article presents an overview of the single-channel dereverberation methods suitable for distant speech recognition (DSR) application. The dereverberation methods are mainly classified based on the domain of enhancement of speech signal captured by a distant microphone. Many single-channel speech enhancement methods focus on either denoising or dereverberating the distorted speech signal. There are very few methods that consider both noise and reverberation effects. Such methods are discussed under a multistage approach in this article. The article concludes with a hypothesis that the methods that do not require an a priori reverberation impulse response is desirable in varying the environmental conditions for DSR applications such as intelligent home and office environments, humanoid robots, and automobiles rather than the methods that require an a priori reverberation impulse response.
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Affiliation(s)
- Jaya Kumar Ashwini
- 1Department of Electronics and Communication, Siddaganga Institute of Technology, Tumkur, Karnataka, India
| | - Ramaswamy Kumaraswamy
- 1Department of Electronics and Communication, Siddaganga Institute of Technology, Tumkur, Karnataka, India
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Laska BNM, Bolic M, Goubran RA. Particle Filter Enhancement of Speech Spectral Amplitudes. ACTA ACUST UNITED AC 2010. [DOI: 10.1109/tasl.2010.2042127] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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