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» Online adaptive learning for speech recognition decoding
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INTERSPEECH
2010
12 years 11 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin
INTERSPEECH
2010
12 years 11 months ago
VAD-measure-embedded decoder with online model adaptation
We previously proposed a decoding method for automatic speech recognition utilizing hypothesis scores weighted by voice activity detection (VAD)-measures. This method uses two Gau...
Tasuku Oonishi, Koji Iwano, Sadaoki Furui
PERVASIVE
2010
Springer
13 years 11 months ago
On the Use of Brain Decoded Signals for Online User Adaptive Gesture Recognition Systems
Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characte...
Kilian Förster, Andrea Biasiucci, Ricardo Cha...
ICASSP
2010
IEEE
13 years 5 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
ICMCS
2006
IEEE
146views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Performance Analysis of Compressed-Domain Automatic Speaker Recognition as a Function of Speech Coding Technique and Bit Rate
Compressed-domain automatic speaker recognition is based on the analysis of the compressed parameters of speech coders. The objective is to perform low-complexity on-line speaker ...
Matteo Petracca, Antonio Servetti, Juan Carlos De ...