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» Signal Processing in Large Systems: a New Paradigm
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ICASSP
2008
IEEE
14 years 2 months ago
Confidence scores for acoustic model adaptation
This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. ...
Christian Gollan, Michiel Bacchiani
ICASSP
2008
IEEE
14 years 2 months ago
An iterative unsupervised learning method for information distillation
Information distillation techniques are used to analyze and interpret large volumes of speech and text archives in multiple languages and produce structured information of interes...
Kamand Kamangar, Dilek Hakkani-Tür, Gökh...
ICASSP
2011
IEEE
12 years 11 months ago
Non-negative matrix deconvolution in noise robust speech recognition
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
ICASSP
2011
IEEE
12 years 11 months ago
Assessing the speaker recognition performance of naive listeners using mechanical turk
In this paper we attempt to quantify the ability of naive listeners to perform speaker recognition in the context of the NIST evaluation task. We describe our protocol: a series o...
Wade Shen, Joseph P. Campbell, Derek Straub, Reva ...
ICASSP
2011
IEEE
12 years 11 months ago
Computer-assisted transcription of speech based on confusion network reordering
Large vocabulary automatic speech recognition (ASR) technologies perform well in known and controlled contexts. In less controlled conditions, however, human review is often neces...
Antoine Laurent, Sylvain Meignier, Téva Mer...