Odyssey 2016

1:01:25

Voice conversion and spoofing countermeasures for speaker verification

Haizhou Li

1:02:24

Understanding individual-level speech variability: From novel speech production data to robust speaker recognition

Shri Narayanan

0:59:27

I-Vector Representation Based on GMM and DNN for Audio Classification

Najim Dehak

0:23:41

A Low-Power Text-Dependent Speaker Verification System with Narrow-Band Feature Pre-Selection and Weighted Dynamic Time Warping

Qing He, Gregory Wornell and Wei Ma

0:29:05

Deep Neural Network based Text-Dependent Speaker Verification : Preliminary Results

Gautam Bhattacharya and Patrick Kenny

0:25:05

Uncertainty Modeling Without Subspace Methods For Text-Dependent Speaker Recognition

Patrick Kenny, Themos Stafylakis, Jahangir Alam, Vishwa Gupta and Marcel Kockmann

0:19:14

Deep Neural Networks and Hidden Markov Models in i-vector-based Text-Dependent Speaker Verification

Hossein Zeinali, Lukas Burget, Hossein Sameti, Ondrej Glembek and Oldrich Plchot

0:25:27

Fast Scoring for PLDA with Uncertainty Propagation

Weiwei Lin, Man-Wai Mak

0:24:13

I-vector transformation and scaling for PLDA based speaker recognition

Sandro Cumani, Pietro Laface

0:23:30

Rapid Computation of I-vector

Longting Xu, Kong Aik Lee, Haizhou Li, Zhen Yang

0:26:01

Constrained discriminative speaker verification specific to normalized i-vectors

Pierre-Michel Bousquet, Jean-Francois Bonastre

0:16:07

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

0:01:38

Between-Class Covariance Correction For Linear Discriminant Analysis in Language Recognition

Abhinav Misra, Qian Zhang, Finnian Kelly and John H.L. Hansen

0:01:29

Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition

Amir Hossein Poorjam, Rahim Saeidi, Tomi Kinnunen, Ville Hautamäki

0:02:33

Discriminating Languages in a Probabilistic Latent Subspace

Aleksandr Sizov, Kong Aik Lee, Tomi Kinnunen

0:02:24

Automatic Accent Recognition Systems and the Effects of Data on Performance

Georgina Brown

0:02:33

The ‘Sprekend Nederland’ project and its application to accent location

David van Leeuwen, Rosemary Orr

0:02:34

Deep Language: a comprehensive deep learning approach to end-to-end language recognition

Trung Ngo Trong, Ville Hautamäki, Kong Aik Lee

0:02:41

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

0:01:54

Language Recognition for Dialects and Closely Related Languages

Gregory Gelly, Jean-Luc Gauvain, Lori Lamel, Antoine Laurent, Viet Bac Le, Abdel Messaoudi

0:01:32

Identification of British English regional accents using fusion of i-vector and multi-accent phonotactic systems

Maryam Najafian, Saeid Safavi, Phil Weber, Martin Russell

0:02:05

Improvements on Deep Bottleneck Network based I-Vector Representation for Spoken Language Identification

Yan Song, Ruilian Cui, Ian Mcloughlin, Lirong Dai

0:18:17

Deep complementary features for speaker identification in TV broadcast data

Mateusz Budnik, Ali Khodabakhsh, Laurent Besacier, Cenk Demiroglu

0:25:53

First investigations on self trained speaker diarization

Gaël Le Lan, Sylvain Meignier, Delphine Charlet, Anthony Larcher

0:24:45

Soft VAD in Factor Analysis Based Speaker Segmentation of Broadcast News

Brecht Desplanques, Kris Demuynck, Jean-Pierre Martens

0:25:38

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

0:24:57

The IBM 2016 Speaker Recognition System

Seyed Omid Sadjadi, Sriram Ganapathy, Jason Pelecanos

0:21:31

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

0:17:35

Analyzing the Effect of Channel Mismatch on the SRI Language Recognition Evaluation 2015 System

Mitchell Mclaren, Diego Castán, Luciana Ferrer

0:22:09

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

0:23:28

Augmented Data Training of Joint Acoustic/Phonotactic DNN i-vectors for NIST LRE15

Alan Mccree, Greg Sell, Daniel Garcia-Romero

0:22:59

LID-senone Extraction via Deep Neural Networks for End-to-End Language Identification

Ma Jin, Yan Song, Ian Mcloughlin, Lirong Dai, Zhongfu Ye

0:25:50

On autoencoders in the i-vector space for speaker recognition

Timur Pekhovsky, Sergey Novoselov, Aleksei Sholohov, Oleg Kudashev

0:19:49

Channel Compensation for Speaker Recognition using MAP Adapted PLDA and Denoising DNNs

Fred Richardson, Brian Nemsick, Douglas Reynolds

0:25:38

Evaluation of an LSTM-RNN System in Different NIST Language Recognition Frameworks

Ruben Zazo, Alicia Lozano-Diez, Joaquin Gonzalez-Rodriguez

0:02:31

Feature-based likelihood ratios for speaker recognition from linguistically-constrained formant-based i-vectors

Javier Franco-Pedroso, Joaquin Gonzalez-Rodriguez

0:01:23

Improving Robustness of Speaker Verification Against Mimicked Speech

Kuruvachan K George, Santhosh Kumar C, Ramachandran K I, Ashish Panda

0:03:03

Multi-channel i-vector combination for robust speaker verification in multi-room domestic environments

Alessio Brutti, Alberto Abad

0:02:00

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

0:02:33

A PLDA Approach for Language and Text Independent Speaker Recognition

Abbas Khosravani, Mohammad Mehdi Homayounpour, Dijana Petrovska-Delacrétaz, Gérard Chollet

0:02:01

Spoofing Detection on the ASVspoof2015 Challenge Corpus Employing Deep Neural Networks

Md Jahangir Alam, Patrick Kenny, Vishwa Gupta, Themos Stafylakis

0:02:30

Age-Related Voice Disguise and its Impact on Speaker Verification Accuracy

Rosa González Hautamäki, Md Sahidullah, Tomi Kinnunen, Ville Hautamäki

0:03:05

A New Feature for Automatic Speaker Verification Anti-Spoofing: Constant Q Cepstral Coefficients

Massimiliano Todisco, Héctor Delgado, Nicholas Evans

0:02:19

Multi-Bit Allocation: Preparing Voice Biometrics for Template Protection

Marco Paulini, Christian Rathgeb, Andreas Nautsch, Hermine Reichau, Herbert Reininger, Christoph Busch

0:01:40

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

1:28:43

Forensic and investigative speaker recognition

Daniel Ramos, Jonas Lindh, Michael Jessen, Anil Alexander, Geoffrey Stewart Morrison

0:34:10

Commercial applications of speaker and language recognition

Sergey Novoselov, Carlos Vaquero, Antonio Moreno

0:12:50

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

0:16:43

Out-of-Set i-Vector Selection for Open-set Language Identification

Hamid Behravan, Tomi Kinnunen, Ville Hautamäki

0:26:28

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

0:17:30

A Semisupervised Approach for Language Identification based on Ladder Networks

Ehud Ben-Reuven, Jacob Goldberger

0:02:53

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, Xiao Wang

0:01:46

I-Vectors for speech activity detection

Elie Khoury, Matt Garland

0:02:37

Compensation for phonetic nuisance variability in speaker recognition using DNNs

Themos Stafylakis, Patrick Kenny, Vishwa Gupta, Jahangir Alam, Marcel Kockmann

0:01:31

Local binary patterns as features for speaker recognition

Waad Ben Kheder, Driss Matrouf, Moez Ajili, Jean-Francois Bonastre

0:02:25

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

0:01:06

From Features to Speaker Vectors by means of Restricted Boltzmann Machine Adaptation

Pooyan Safari, Omid Ghahabi, Javier Hernando

0:01:54

Reducing Noise Bias in the i-Vector Space for Speaker Recognition

Yosef Solewicz, Hagai Aronowitz, Timo Becker

0:23:19

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

0:22:58

Influence of transition cost in the segmentation stage of speaker diarization

Beatriz Martínez-González, José M. Pardo, Rubén San-Segundo, J.M. Montero

0:22:23

Analysis of the Impact of the Audio Database Characteristics in the Accuracy of a Speaker Clustering System

Jesús Jorrín Prieto, Carlos Vaquero, Paola García

0:21:54

Short- and Long-Term Speech Features for Hybrid HMM-i-Vector based Speaker Diarization System

Abraham Woubie Zewoudie, Jordi Luque, Javier Hernando

0:24:59

On the Use of PLDA i-vector Scoring for Clustering Short Segments

Itay Salmun, Irit Opher, Itshak Lapidot

0:31:46

Opening ceremony

0:09:21

Closing ceremony