Decoding Speech In The Presence Of Other Sources

Decoding Speech In The Presence Of Other Sources (2002)

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by Jon Barker , Martin Cooke , Daniel P. W. Ellis

Venue:	SPEECH COMMUNICATION
Citations:	34 - 11 self

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@ARTICLE{Barker02decodingspeech,
    author = {Jon Barker and Martin Cooke and Daniel P. W. Ellis},
    title = {Decoding Speech In The Presence Of Other Sources},
    journal = {SPEECH COMMUNICATION},
    year = {2002},
    volume = {45},
    pages = {5--25}
}

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Abstract

Acoustic interference is arguably the most serious problem facing current speech recognisers. The maturation of statistical pattern recognition techniques has brought very low word error rates when both training and test material consist solely of speech. However, in real-world situations, any speech signal of interest will be mixed with background noises coming from the full range of sources encountered in our acoustic environment. In this paper,

Citations

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