Apr 5, 2014 · This paper proposes an improvement in speech detection using ERB feature extraction. The features were extracted using an ERB filter bank ...
This study extracted a speech feature using an equivalent rectangular bandwidth (ERB) filter bank cepstrum and constructed a learning model using the ...
Abstract: A range of speech extraction techniques have been applied to improve speech recognition when the signals are mixed with noise.
Improvement of Speech Detection Using ERB Feature Extraction. https://doi.org/10.1007/s11277-014-1752-9. Journal: Wireless Personal Communications, 2014, № 4 ...
This paper improved the speech recognition rate by extracting such a feature with an ERB filter bank cepstrum. The proposed model used train and train station ...
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The effectiveness of feature extraction methods has been confirmed in speech recognition or speech enhancement experiments, but it remains difficult to.
In this paper, we present a robust feature extraction algorithm based on auditory periphery model for Speech Recognition. At the front-end, a normalized ...
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with ap-.
To perform this, a series of acoustic features are extracted from the speech signal, and then pattern recognition algorithms are used. Thus, the choice of ...
Jan 30, 2016 · The ERB expression is defined by the following equation. ERB(fc) = 24.7+0.108 fc in Hz. The gammachirp filter response defined in the.