Based on the concept of entropy, a new approach to analyse the quality of features as used in speech recognition is proposed. We regard the relation between ...
This paper presents an investigation of spectral entropy features, used for voice activity detection, in the context of speech recognition.
Better performance is observed for the entropy-based VFR over our earlier VFR approach and over the fixed-rate system. 1. INTRODUCTION. Most speech-processing ...
ABSTRACT. This paper presents an entropy-based algorithm for accurate and robust endpoint detection for speech recognition under noisy environments.
Jan 13, 2023 · Learn how to achieve fast, simple word-level ASR confidence estimation using entropy-based methods.
Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in ...
Jul 6, 2021 · In this research a novel deep learning architecture is proposed for the problem of speech commands recognition.
Missing: recognition. | Show results with:recognition.
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The new feature focused on effectively detecting vocal effort change points between whisper and neutral speech. Experimental results employing a multi-error ...
Missing: recognition. | Show results with:recognition.
Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in ...
In this paper, we propose an entropy-based measure to identify the more discriminating feature parameters, and a feature parameter weighting scheme to emphasize ...