Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification
SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation
Vector Quantization In Text Dependent Automatic Speaker Recognition Using Mel-frequency Cepstrum Coefficient
SVMs for Automatic Speech Recognition: A Survey.
An overview of text-independent speaker recognition: from features to supervectors
Deep Neural Network Embeddings for Text-Independent Speaker Verification
Insights into deep neural networks for speaker recognition.
Voice conversion and spoofing attack on speaker verification systems
Feature Warping for Robust Speaker Verification
A New Feature for Automatic Speaker Verification Anti-Spoofing: Constant Q Cepstral Coefficients
Speaker Verification and Spoken Language Identification using a Generalized I-vector Framework with Phonetic Tokenizations and Tandem Features
PLDA for speaker verification with utterances of arbitrary duration
Advances in deep neural network approaches to speaker recognition
Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS
Generalized linear discriminant sequence kernels for speaker recognition
Recent advances in speaker recognition
X-Vectors: Robust DNN Embeddings for Speaker Recognition
Combining evidence from residual phase and MFCC features for speaker recognition
I-Vector / PLDA Variants for Text-Dependent Speaker Recognition
Performance comparison of speaker recognition systems using GMM and i-Vector methods with PNCC and RASTA PLP features
Unified Hypersphere Embedding for Speaker Recognition
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
White-Box Traceable Ciphertext-Policy Attribute-Based Encryption Supporting Flexible Attributes
Design of a soft 3-axis load cell for human-robot interactions
Classification of Diseased Arecanut based on Texture Features
Data Mining Methods and Models