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Deep feature for text-dependent speaker verification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Speaker recognition using HMM composition in noisy environments
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Speaker Verification Using Adapted Gaussian Mixture Models
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Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition
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Speaker identification and verification using Gaussian mixture speaker models
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Text-dependent speaker verification: Classifiers, databases and RSR2015
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Speaker recognition using hidden Markov models, dynamic time warping and vector quantisation
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Context-independent phonetic hidden Markov models for speaker-independent continuous speech recognition
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Speaker recognition using neural networks and conventional classifiers
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Speaker verification using text-constrained Gaussian Mixture Models
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Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification
inferredcites →https://doi.org/10.1109/icassp.2011.5947437openalex-snapshot
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification
inferredcites →https://doi.org/10.1109/icassp.2011.5947593openalex-snapshot
Source-normalised-and-weighted LDA for robust speaker recognition using i-vectors
inferredcites →https://doi.org/10.1109/icassp.2012.6288986openalex-snapshot
I-vectors in the context of phonetically-constrained short utterances for speaker verification
inferredcites →https://doi.org/10.1109/icassp.2013.6639151openalex-snapshot
PLDA for speaker verification with utterances of arbitrary duration
inferredcites →https://doi.org/10.1109/icassp.2014.6854363openalex-snapshot
Deep neural networks for small footprint text-dependent speaker verification
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2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Comparison of neural networks for speaker recognition
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Speaker verification with deep features
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The 2013 International Joint Conference on Neural Networks (IJCNN)
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Support vector machines using GMM supervectors for speaker verification
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Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
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Fisher discriminant analysis with kernels
inferredcites →https://doi.org/10.1109/tasl.2006.881693openalex-snapshot
Joint Factor Analysis Versus Eigenchannels in Speaker Recognition
inferredcites →https://doi.org/10.1109/tasl.2007.894527openalex-snapshot
Speaker and Session Variability in GMM-Based Speaker Verification
inferredcites →https://doi.org/10.1109/tasl.2010.2064307openalex-snapshot
Front-End Factor Analysis for Speaker Verification
inferredcites →https://doi.org/10.1109/tasl.2011.2134090openalex-snapshot
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
inferredcites →https://doi.org/10.1109/tasl.2011.2164533openalex-snapshot
Source-normalised LDA for robust speaker recognition using i-vectors
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Cepstral analysis technique for automatic speaker verification
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Text-dependent speaker verification using vector quantization source coding
inferredcites →https://doi.org/10.1109/telfor.2012.6419314openalex-snapshot
Neural network based speaker verification for security systems
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A Fast Learning Algorithm for Deep Belief Nets
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Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
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Application of LDA to speaker recognition
inferredcites →https://doi.org/10.21437/interspeech.2012-341openalex-snapshot
RSR2015: database for text-dependent speaker verification using multiple pass-phrases
inferredcites →https://doi.org/10.21437/interspeech.2012-460openalex-snapshot
PLDA modeling in i-vector and supervector space for speaker verification
inferredcites →https://doi.org/10.21437/interspeech.2014-327openalex-snapshot
Content matching for short duration speaker recognition
inferredcites →https://doi.org/10.21437/interspeech.2014-329openalex-snapshot
Tandem deep features for text-dependent speaker verification
inferredcites →https://doi.org/10.21437/interspeech.2014-330openalex-snapshot
In-domain versus out-of-domain training for text-dependent JFA
inferredcites →https://doi.org/10.21437/interspeech.2014-332openalex-snapshot
Factor analysis with sampling methods for text dependent speaker recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Covariance Based Deep Feature for Text-Dependent Speaker Verification
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Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models
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Restricted Boltzmann machines for vector representation of speech in speaker recognition
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Incorporating pass-phrase dependent background models for text-dependent speaker verification
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Optimization of the area under the ROC curve using neural network supervectors for text-dependent speaker verification
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Self-segmentation of pass-phrase utterances for deep feature learning in text-dependent speaker verification
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Restricted Boltzmann Machine Vectors for Speaker Clustering
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Tandem Features for Text-Dependent Speaker Verification on the RedDots Corpus
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Parallel Speaker and Content Modelling for Text-Dependent Speaker Verification
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Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition
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Incorporating Local Acoustic Variability Information into Short Duration Speaker Verification
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Deep Speaker Feature Learning for Text-Independent Speaker Verification
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Adversarial Network Bottleneck Features for Noise Robust Speaker Verification
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Auto-Encoding Nearest Neighbor i-Vectors for Speaker Verification
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I–vector transformation and scaling for PLDA based speaker recognition
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A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification
inferred← citeshttps://doi.org/10.23919/apsipa.2018.8659742openalex-snapshot
Compensating Utterance Information in Fixed Phrase Speaker Verification
inferred← citeshttps://doi.org/10.23919/eusipco.2019.8902945openalex-snapshot
DNN Speaker Embeddings Using Autoencoder Pre-Training
inferred← citeshttps://doi.org/10.24996/ijs.2021.62.9.38openalex-snapshot
Analysis of Methods and Techniques Used for Speaker Identification, Recognition, and Verification: A Study on Quarter-Century Research Outcomes
inferred← citeshttps://doi.org/10.28925/2663-4023.2024.25.140160openalex-snapshot
COMPARISON OF DIGITAL SIGNAL PROCESSING METHODS AND DEEP LEARNING MODELS IN VOICE AUTHENTICATION
inferred← citeshttps://doi.org/10.28948/ngumuh.516805openalex-snapshot
KONUŞMACI DOĞRULAMA İÇİN EĞİTİM SETİ OPTİMİZASYONLU İKİ AŞAMALI KARAR VERME ALGORİTMASI
inferred← citeshttps://doi.org/10.2991/anit-17.2018.21openalex-snapshot
D-vector based speaker verification system using Raw Waveform CNN
inferred← citeshttps://doi.org/10.2991/ceie-16.2017.19openalex-snapshot
Robust Speaker Recognition Algorithm
inferred← citeshttps://doi.org/10.3233/jifs-169927openalex-snapshot
Complementing the DTW based speaker verification systems with knowledge of specific regions of interest
inferred← citeshttps://doi.org/10.3311/ppee.17024openalex-snapshot
Deep Learning Methods in Speaker Recognition: A Review
inferred← citeshttps://doi.org/10.33899/arej.2024.141494.1304openalex-snapshot
Methods and techniques for speaker recognition: A Review
inferred← citeshttps://doi.org/10.3390/acoustics5030042openalex-snapshot
On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
inferred← citeshttps://doi.org/10.3390/aerospace8030065openalex-snapshot
Spoken Instruction Understanding in Air Traffic Control: Challenge, Technique, and Application
inferred← citeshttps://doi.org/10.3390/app10186571openalex-snapshot
Regularized Within-Class Precision Matrix Based PLDA in Text-Dependent Speaker Verification
inferred← citeshttps://doi.org/10.3390/app9132636openalex-snapshot
Addressing Text-Dependent Speaker Verification Using Singing Speech
inferred← citeshttps://doi.org/10.3390/app9132761openalex-snapshot
Restricted Boltzmann Machine Vectors for Speaker Clustering and Tracking Tasks in TV Broadcast Shows
inferred← citeshttps://doi.org/10.3390/app9163295openalex-snapshot
Supervector Extraction for Encoding Speaker and Phrase Information with Neural Networks for Text-Dependent Speaker Verification
inferred← citeshttps://doi.org/10.3390/e20080600openalex-snapshot
Identity Vector Extraction by Perceptual Wavelet Packet Entropy and Convolutional Neural Network for Voice Authentication
inferred← citeshttps://doi.org/10.3390/electronics10010020openalex-snapshot
Speaker Recognition Based on Fusion of a Deep and Shallow Recombination Gaussian Supervector
inferred← citeshttps://doi.org/10.3390/electronics11060893openalex-snapshot
Class-GE2E: Speaker Verification Using Self-Attention and Transfer Learning with Loss Combination
inferred← citeshttps://doi.org/10.3390/electronics9122201openalex-snapshot
Speaker Verification Employing Combinations of Self-Attention Mechanisms
inferred← citeshttps://doi.org/10.3390/s20236784openalex-snapshot
Bidirectional Attention for Text-Dependent Speaker Verification
inferred← citeshttps://doi.org/10.4018/ijcini.20210401.oa7openalex-snapshot
Hybrid PSO-ANFIS for Speaker Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.2005.07383openalex-snapshot
On Bottleneck Features for Text-Dependent Speaker Verification Using X-vectors
inferred← citeshttps://doi.org/10.48550/arxiv.2102.02074openalex-snapshot
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification
inferred← citeshttps://doi.org/10.48550/arxiv.2106.13514openalex-snapshot
Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification
inferred← citeshttps://doi.org/10.48550/arxiv.2107.10045openalex-snapshot
A Tandem Framework Balancing Privacy and Security for Voice User Interfaces
inferred← citeshttps://doi.org/10.53730/ijhs.v6ns4.10404openalex-snapshot
novel voiceprint using ensembled Mel-Chromagram for speaker recognition
inferred← citeshttps://doi.org/10.5821/dissertation-2117-118780openalex-snapshot
Deep learning for i-vector speaker and language recognition
inferred← citeshttps://doi.org/10.5821/dissertation-2117-345311openalex-snapshot
Self-supervised deep learning approaches to speaker recognition
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