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A comparative survey of fast affine projection algorithms
The affine projection (AP) algorithm is one of the most celebrated adaptive filtering
algorithms, and it achieves a good tradeoff between the convergence rate and …
algorithms, and it achieves a good tradeoff between the convergence rate and …
Sparse linear prediction and its applications to speech processing
The aim of this paper is to provide an overview of Sparse Linear Prediction, a set of speech
processing tools created by introducing sparsity constraints into the linear prediction …
processing tools created by introducing sparsity constraints into the linear prediction …
Feature extraction and modelling techniques for multilingual speaker recognition: a review
In this paper, recognising the speaker in the multilingual context is demonstrated.
Multilingual speaker recognition is useful in countries like India, Canada and South Africa …
Multilingual speaker recognition is useful in countries like India, Canada and South Africa …
Speaker recognition using PCA-based feature transformation
This paper introduces a Weighted-Correlation Principal Component Analysis (WCR-PCA)
for efficient transformation of speech features in speaker recognition. A Recurrent Neural …
for efficient transformation of speech features in speaker recognition. A Recurrent Neural …
Acoustic analysis for automatic speech recognition
As a pattern recognition application, automatic speech recognition (ASR) requires the
extraction of useful features from its input signal, speech. To help determine relevance …
extraction of useful features from its input signal, speech. To help determine relevance …
Vector quantization of LSF parameters with a mixture of Dirichlet distributions
Quantization of the linear predictive coding parameters is an important part in speech
coding. Probability density function (PDF)-optimized vector quantization (VQ) has been …
coding. Probability density function (PDF)-optimized vector quantization (VQ) has been …
Feature extraction using power-law adjusted linear prediction with application to speaker recognition under severe vocal effort mismatch
Linear prediction is one of the most established techniques in signal estimation, and it is
widely utilized in speech signal processing. It has been long understood that the nerve firing …
widely utilized in speech signal processing. It has been long understood that the nerve firing …
Aircraft class identification based on take-off noise signal segmentation in time
Aircraft noise is one of the most uncomfortable kinds of sounds. That is why many
organizations have addressed this problem through noise contours around airports, for …
organizations have addressed this problem through noise contours around airports, for …
The linear predictive modeling of speech from higher-lag autocorrelation coefficients applied to noise-robust speaker recognition
A linear predictive spectral estimation method based on higher-lag autocorrelation
coefficients is proposed for the noise-robust feature extraction from speech. The method …
coefficients is proposed for the noise-robust feature extraction from speech. The method …
Regularized all-pole models for speaker verification under noisy environments
Regularization of linear prediction based mel-frequency cepstral coefficient (MFCC)
extraction in speaker verification is considered. Commonly, MFCCs are extracted from the …
extraction in speaker verification is considered. Commonly, MFCCs are extracted from the …