Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics

Digital Coding of Waveforms

This article reviews various procedures used in the analysis of circadian rhythms at the populational, organismal, cellular and molecular levels. The procedures range from visual inspection of time plots and actograms to several mathematical methods of time series analysis. Computational steps are described in some detail, and additional bibliographic resources and computer programs are listed.

/pdf/procedures-for-numerical-analysis-of-circadian-rhythms-2s10ln0129.pdf

Procedures for numerical analysis of circadian rhythms.

In this paper, we introduce a frame selection strategy for improved detection of spoofed speech. A countermeasure (CM) system typically uses a Gaussian mixture model (GMM) based classifier for computing the log-likelihood scores. The average log-likelihood ratio for all speech frames of a test utterance is calculated as the score for the decision making. As opposed to this standard approach, we propose to use selected speech frames of the test utterance for scoring. We present two simple and computationally efficient frame selection strategies based on the log-likelihood ratios of the individual frames. The performance is evaluated with constant-Q cepstral coefficients as front-end feature extraction and two-class GMM as a back-end classifier. We conduct the experiments using the speech corpora from ASVspoof 2015, 2017, and 2019 challenges. The experimental results show that the proposed scoring techniques substantially outperform the conventional scoring technique for both the development and evaluation data set of ASVspoof 2015 corpus. We did not observe noticeable performance gain in ASVspoof 2017 and ASVspoof 2019 corpus. We further conducted experiments with partially spoofed data where spoofed data is created by augmenting natural and spoofed speech. In this scenario, the proposed methods demonstrate considerable performance improvement over baseline.

https://hal.archives-ouvertes.fr/hal-03008912/document

Speech frame selection for spoofing detection with an application to partially spoofed audio-data

Phonocardiogram (PCG) signals are often corrupted by different types of artifacts which make computer based heart sound signal analysis more challenging. It requires human intervention to select decent quality of signal subsequence that is free from artifacts. In this work, we have proposed a new technique of automatic artifact-free subsequence selection from PCG signal by the application of Discrete Wavelet Packet Transform (DWPT) and quasiperiodicity property of artifact-free heart sound signal. DWPT is used to identify those parts of the signal, where the artifacts are prominent. After this, quasi-periodicity property of PCG signal is used as quality measure to select artifact-free subsequences. The algorithm shows good results when tested on normal and five commonly occurring pathological heart sound signals.

A Discrete Wavelet Packet Transform Based Approach for Selection of Artifact-Free Phonocardiogram Segment

Singular value decomposition (SVD) and analysis based on singular value ratio (SVR) Spectrum have been used for the extraction of fetal ECG (F-ECG) from a single channel composite maternal ECG (CM-ECC) signal. The maternal and the fetal ECG components are identified in terms of the SV-decomposed modes of the the appropriately configured data matrices, and the desired F-ECG is obtained through selective separation of SV-decomposed components.

Fetal ECG extraction from single channel maternal ECG using SVD and SVR spectrum

The performances of the automatic speaker verification (ASV) systems degrade due to the reduction in the amount of speech used for enrollment and verification. Combining multiple systems based on different features and classifiers considerably reduces speaker verification error rate with short utterances. This work attempts to incorporate supplementary information during the system combination process. We use quality of the estimated model parameters as supplementary information. We introduce a class of novel quality measures formulated using the zero-order sufficient statistics used during the i-vector extraction process. We have used the proposed quality measures as side information for combining ASV systems based on Gaussian mixture model-universal background model (GMM-UBM) and i-vector. The proposed methods demonstrate considerable improvement in speaker recognition performance on NIST SRE corpora, especially in short duration conditions. We have also observed improvement over existing systems based on different duration-based quality measures.

Quality Measures for Speaker Verification with Short Utterances

The Blyth's tragopan Tragopan blythii is a vulnerable species and its status was investigated at the Blue Mountain National Park, Mizoram. Blyth's tragopans occur in steep slopes and cliff areas in the National Park. Callcount of male tragopans was adopted to get an index of abundance of these birds. Estimates suggest a total of 38 birds in the study area.

Goutam Saha

Papers

Speech frame selection for spoofing detection with an application to partially spoofed audio-data

A Discrete Wavelet Packet Transform Based Approach for Selection of Artifact-Free Phonocardiogram Segment

Fetal ECG extraction from single channel maternal ECG using SVD and SVR spectrum

Quality Measures for Speaker Verification with Short Utterances

Status survey of the Blyth's tragopan in Blue Mountain National Park, Mizoram, India using call-count technique