Isolated Word Recognition Based on Combination of Multiple Noise-Robust Techniques
نویسندگان
چکیده
منابع مشابه
Isolated Word Recognition Based on Combination of Multiple Noise-Robust Techniques
Although many noise-robust techniques have been presented, the improvement under low SNR condition is still insufficient. The purpose of this paper is to achieve the high recognition accuracy under low SNR condition with low calculation costs. Therefore, this paper proposes a novel noise-robust speech recognition system that makes full use of spectral subtraction (SS), mean variance normalizati...
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A new robust algorithm for isolated word recognition in low SNR environments is suggested. The algorithm, called WSP, is described here for left to right models with no skips. It is shown that the algorithm outperforms the conventional HMM in the SNR range of 5 to 20db, and the PMC algorithm in the range 0 to-9db.
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Performances of automatic speech recognition (ASR) systems degrade rapidly when there is a mismatch between train and test acoustic conditions. Performance can be improved using a multi-stream framework, which involves combining posterior probabilities from several classifiers (often deep neural networks (DNNs)) trained on different features/streams. Knowledge about the confidence of each of th...
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This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration, except where stated. It has not been submitted in whole or part for a degree at any other university. The length of this thesis including footnotes and appendices is approximately 36,000 words. i Summary This thesis details the development of a model-based noise compensation t...
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ژورنال
عنوان ژورنال: ECTI Transactions on Computer and Information Technology (ECTI-CIT)
سال: 1970
ISSN: 2286-9131,2286-9131
DOI: 10.37936/ecti-cit.201261.54324