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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
14 years 7 months ago
Discriminative duration modeling for speech recognition with segmental conditional random fields
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...
Justine T. Kao, Geoffrey Zweig, Patrick Nguyen
ICASSP
2011
IEEE
14 years 7 months ago
Generating compound words with high order n-gram information in large vocabulary speech recognition systems
In this work we concentrate on generating compound words with high order n-gram information for speech recognition. In most existing compound words generation methods, only bi-gra...
Jie Zhou, Qin Shi, Yong Qin
110
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Discriminatively estimated discrete, parametric and smoothed-discrete duration models for speech recognition
Duration of phonemic segments provide important cues for distinguishing words in languages such as Arabic. Recently, we proposed a discriminatively estimated joint acoustic, durat...
Maider Lehr, Izhak Shafran
136
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Posterior features applied to speech recognition tasks with user-defined vocabulary
This paper presents a novel approach for those applications where vocabulary is defined by a set of acoustic samples. In this approach, the acoustic samples are used as reference...
Guillermo Aradilla, Hervé Bourlard, Mathew ...
ICASSP
2010
IEEE
15 years 3 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...