21-24 Jun 2016, Bilbao, Spain
Luis Javier Rodriguez-Fuentes and Eduardo Lleida
ISSN: 2312-2846 DOI: 10.21437/Odyssey.2016
Voice conversion and spoofing countermeasures for speaker verification
Haizhou Li
A Low-Power Text-Dependent Speaker Verification System with Narrow-Band Feature Pre-Selection and Weighted Dynamic Time Warping
Qing He, Gregory Wornell, Wei Ma
Deep Neural Network based Text-Dependent Speaker Verification : Preliminary Results
Gautam Bhattacharya, Patrick Kenny, Jahangir Alam, Themos Stafylakis
Uncertainty Modeling Without Subspace Methods For Text-Dependent Speaker Recognition
Patrick Kenny, Themos Stafylakis, Jahangir Alam, Vishwa Gupta, Marcel Kockmann
Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification
Hossein Zeinali, Lukas Burget, Hossein Sameti, Ondrej Glembek, Oldrich Plchot
Fast Scoring for PLDA with Uncertainty Propagation
Weiwei Lin, Man-Wai Mak
I–vector transformation and scaling for PLDA based speaker recognition
Sandro Cumani, Pietro Laface
Rapid Computation of I-vector
Longting Xu, Kong Aik Lee, Haizhou Li, Zhen Yang
Constrained discriminative speaker verification specific to normalized i-vectors
Pierre-Michel Bousquet, Jean-Francois Bonastre
Iterative Bayesian and MMSE-based noise compensation techniques for speaker recognition in the i-vector space
Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-Francois Bonastre
Between-Class Covariance Correction For Linear Discriminant Analysis in Language Recognition
Abhinav Misra, Qian Zhang, Finnian Kelly, John H.L. Hansen
Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition
Amir Hossein Poorjam, Rahim Saeidi, Tomi Kinnunen, Ville Hautamaki
Discriminating Languages in a Probabilistic Latent Subspace
Aleksandr Sizov, Kong Aik Lee, Tomi Kinnunen
Investigation of Senone-based Long-Short Term Memory RNNs for Spoken Language Recognition
Yao Tian, Liang He, Yi Liu, Jia Liu
Automatic Accent Recognition Systems and the Effects of Data on Performance
Georgina Brown
The “Sprekend Nederland” project and its application to accent location
David van Leeuwen, Rosemary Orr
Deep Language: a comprehensive deep learning approach to end-to-end language recognition
Trung Ngo Trong, Ville Hautamäki, Kong Aik Lee
On the use of phone-gram units in recurrent neural networks for language identification
Christian Salamea, Luis Fernando D'Haro, Ricardo Cordoba, Rubén San-Segundo
Language Recognition for Dialects and Closely Related Languages
Gregory Gelly, Jean-Luc Gauvain, Lori Lamel, Antoine Laurent, Viet Bac Le, Abdel Messaoudi
Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems
Maryam Najafian, Saeid Safavi, Phil Weber, Martin Russell
Improvements on Deep Bottleneck Network based I-Vector Representation for Spoken Language Identification
Yan Song, Ruilian Cui, Mcloughlin Ian, Lirong Dai
Deep complementary features for speaker identification in TV broadcast data
Mateusz Budnik, Ali Khodabakhsh, Laurent Besacier, Cenk Demiroglu
First investigations on self trained speaker diarization
Gaël Le Lan, Sylvain Meignier, Delphine Charlet, Anthony Larcher
Soft VAD in Factor Analysis Based Speaker Segmentation of Broadcast News
Brecht Desplanques, Kris Demuynck, Jean-Pierre Martens
Understanding individual-level speech variability: From novel speech production data to robust speaker recognition
Shrikanth S. Narayanan
BAT System Description for NIST LRE 2015
Oldrich Plchot, Pavel Matejka, Ondrej Glembek, Radek Fer, Ondrej Novotny, Jan Pesan, Lukas Burget, Niko Brummer, Sandro Cumani
The IBM 2016 Speaker Recognition System
Seyed Omid Sadjadi, Sriram Ganapathy, Jason Pelecanos
The Sheffield language recognition system in NIST LRE 2015
Raymond W. M. Ng, Mauro Nicolao, Oscar Saz, Madina Hasan, Bhusan Chettri, Mortaza Doulaty, Tan Lee, Thomas Hain
Analyzing the Effect of Channel Mismatch on the SRI Language Recognition Evaluation 2015 System
Mitchell Mclaren, Diego Castán, Luciana Ferrer
The MITLL NIST LRE 2015 Language Recognition System
Pedro Torres-Carrasquillo, Najim Dehak, Elizabeth Godoy, Douglas Reynolds, Fred Richardson, Stephen Shum, Elliot Singer, Douglas Sturim
Augmented Data Training of Joint Acoustic/Phonotactic DNN i-vectors for NIST LRE15
Alan Mccree, Greg Sell, Daniel Garcia-Romero
LID-senone Extraction via Deep Neural Networks for End-to-End Language Identification
Ma Jin, Yan Song, Ian Mcloughlin, Lirong Dai, Zhongfu Ye
On autoencoders in the i-vector space for speaker recognition
Timur Pekhovsky, Sergey Novoselov, Aleksei Sholohov, Oleg Kudashev
Channel Compensation for Speaker Recognition using MAP Adapted PLDA and Denoising DNNs
Fred Richardson, Brian Nemsick, Douglas Reynolds
Evaluation of an LSTM-RNN System in Different NIST Language Recognition Frameworks
Ruben Zazo, Alicia Lozano-Diez, Joaquin Gonzalez-Rodriguez
Feature-based likelihood ratios for speaker recognition from linguistically-constrained formant-based i-vectors
Javier Franco-Pedroso, Joaquin Gonzalez-Rodriguez
Improving Robustness of Speaker Verification Against Mimicked Speech
Kuruvachan K George, Santhosh Kumar C, Ramachandran K I, Ashish Panda
Multi-channel i-vector combination for robust speaker verification in multi-room domestic environments
Alessio Brutti, Alberto Abad
Voice Liveness Detection for Speaker Verification based on a Tandem Single/Double-channel Pop Noise Detector
Sayaka Shiota, Fernando Villavicencio, Junichi Yamagishi, Nobutaka Ono, Isao Echizen, Tomoko Matsui
A PLDA Approach for Language and Text Independent Speaker Recognition
Abbas Khosravani, Mohammad Mehdi Homayounpour, Dijana Petrovska-Delacrétaz, Gérard Chollet
Spoofing Detection on the ASVspoof2015 Challenge Corpus Employing Deep Neural Networks
Md Jahangir Alam, Patrick Kenny, Vishwa Gupta, Themos Stafylakis
Age-Related Voice Disguise and its Impact on Speaker Verification Accuracy
Rosa González Hautamäki, Md Sahidullah, Tomi Kinnunen, Ville Hautamäki
A New Feature for Automatic Speaker Verification Anti-Spoofing: Constant Q Cepstral Coefficients
Massimiliano Todisco, Héctor Delgado, Nicholas Evans
Multi-Bit Allocation: Preparing Voice Biometrics for Template Protection
Marco Paulini, Christian Rathgeb, Andreas Nautsch, Hermine Reichau, Herbert Reininger, Christoph Busch
Summary of the 2015 NIST Language Recognition i-Vector Machine Learning Challenge
Audrey Tong, Craig Greenberg, Alvin Martin, Desire Banse, John Howard, Hui Zhao, George Doddington, Daniel Garcia-Romero, Alan McCree, Douglas Reynolds, Elliot Singer, Jaime Hernandez-Cordero, Lisa Mason
Out-of-Set i-Vector Selection for Open-set Language Identification
Hamid Behravan, Tomi Kinnunen, Ville Hautamäki
I2R Submission to the 2015 NIST Language Recognition I-vector Challenge
Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Kong Aik Lee, Bin Ma, Haizhou Li
A Semisupervised Approach for Language Identification based on Ladder Networks
Ehud Ben-Reuven, Jacob Goldberger
I-Vector Representation Based on GMM and DNN for Audio Classification
Najim Dehak
Cantonese forensic voice comparison with higher-level features: likelihood ratio-based validation using F-pattern and tonal F0 trajectories over a disyllabic hexaphone
Phil Rose, Bruce Xiao Wang
I-Vectors for speech activity detection
Elie Khoury, Matt Garland
Compensation for phonetic nuisance variability in speaker recognition using DNNs
Themos Stafylakis, Patrick Kenny, Vishwa Gupta, Jahangir Alam, Marcel Kockmann
Local binary patterns as features for speaker recognition
Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-Francois Bonastre
Analysis and Optimization of Bottleneck Features for Speaker Recognition
Alicia Lozano-Diez, Anna Silnova, Pavel Matejka, Ondrej Glembek, Oldrich Plchot, Jan Pesan, Lukas Burget, Joaquin Gonzalez-Rodriguez
Robustness of Quality-based Score Calibration of Speaker Recognition Systems with respect to low-SNR and short-duration conditions
Andreas Nautsch, Rahim Saeidi, Christian Rathgeb, Christoph Busch
From Features to Speaker Vectors by means of Restricted Boltzmann Machine Adaptation
Pooyan Safari, Omid Ghahabi, Javier Hernando
Reducing Noise Bias in the i-Vector Space for Speaker Recognition
Yosef Solewicz, Hagai Aronowitz, Timo Becker
Semi-supervised On-line Speaker Diarization for Meeting Data with Incremental Maximum A-posteriori Adaptation
Giovanni Soldi, Massimiliano Todisco, Héctor Delgado, Christophe Beaugeant, Nicholas Evans
Influence of transition cost in the segmentation stage of speaker diarization
Beatriz Martínez-González, José M. Pardo, Rubén San-Segundo, J.M. Montero
Analysis of the Impact of the Audio Database Characteristics in the Accuracy of a Speaker Clustering System
Jesús Jorrín Prieto, Carlos Vaquero, Paola García
Short- and Long-Term Speech Features for Hybrid HMM-i-Vector based Speaker Diarization System
Abraham Woubie Zewoudie, Jordi Luque, Javier Hernando
On the Use of PLDA i-vector Scoring for Clustering Short Segments
Itay Salmun, Irit Opher, Itshak Lapidot