University of Eastern Finland

research

∙ 09/21/2021

Comparison of single and multitask learning for predicting cognitive decline based on MRI data

The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) i...

Vandad Imani, et al. ∙

research

∙ 05/18/2022

A2C is a special case of PPO

Advantage Actor-critic (A2C) and Proximal Policy Optimization (PPO) are ...

Shengyi Huang, et al. ∙

research

∙ 03/22/2022

Insights From the NeurIPS 2021 NetHack Challenge

In this report, we summarize the takeaways from the first NeurIPS 2021 N...

Eric Hambro, et al. ∙

research

∙ 04/29/2022

Adversarial Distortion Learning for Medical Image Denoising

We present a novel adversarial distortion learning (ADL) for denoising t...

Morteza Ghahremani, et al. ∙

research

∙ 01/24/2022

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems

As automatic speaker verification (ASV) systems are vulnerable to spoofi...

Anssi Kanervisto, et al. ∙

research

∙ 12/22/2016

Robustness of Voice Conversion Techniques Under Mismatched Conditions

Most of the existing studies on voice conversion (VC) are conducted in a...

Monisankha Pal, et al. ∙

research

∙ 12/14/2016

Spectral video construction from RGB video: Application to Image Guided Neurosurgery

Spectral imaging has received enormous interest in the field of medical ...

Md. Abul Hasnat, et al. ∙

research

∙ 03/02/2018

Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data

Thanks to the growing availability of spoofing databases and rapid advan...

Jaime Lorenzo-Trueba, et al. ∙

research

∙ 04/25/2018

t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification

The ASVspoof challenge series was born to spearhead research in anti-spo...

Tomi Kinnunen, et al. ∙

research

∙ 04/30/2018

Staircase Network: structural language identification via hierarchical attentive units

Language recognition system is typically trained directly to optimize cl...

Trung Ngo Trong, et al. ∙

research

∙ 05/03/2018

Supervector Compression Strategies to Speed up I-Vector System Development

The front-end factor analysis (FEFA), an extension of principal componen...

Ville Vestman, et al. ∙

research

∙ 05/08/2018

A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech

The fundamental frequency (F0) contour of speech is a key aspect to repr...

Akihiro Kato, et al. ∙

research

∙ 07/02/2018

Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks

The fundamental frequency (F0) represents pitch in speech that determine...

Akihiro Kato, et al. ∙

research

∙ 07/26/2018

ToriLLE: Learning Environment for Hand-to-Hand Combat

We present Toribash Learning Environment (ToriLLE), an interface with vi...

Anssi Kanervisto, et al. ∙

research

∙ 09/12/2018

Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems

Automatic speaker verification (ASV) systems use a playback detector to ...

Fuming Fang, et al. ∙

research

∙ 11/30/2018

Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT)

Objective: To develop, and demonstrate the feasibility of, a novel image...

S. J. Hamilton, et al. ∙

research

∙ 12/03/2018

Novel Quality Metric for Duration Variability Compensation in Speaker Verification using i-Vectors

Automatic speaker verification (ASV) is the process to recognize persons...

Arnab Poddar, et al. ∙

research

∙ 01/23/2019

Generalization of Spoofing Countermeasures: a Case Study with ASVspoof 2015 and BTAS 2016 Corpora

Voice-based biometric systems are highly prone to spoofing attacks. Rece...

Dipjyoti Paul, et al. ∙

research

∙ 04/16/2019

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

The I4U consortium was established to facilitate a joint entry to NIST s...

Kong Aik Lee, et al. ∙

research

∙ 05/02/2019

From Video Game to Real Robot: The Transfer between Action Spaces

Training agents with reinforcement learning based techniques requires th...

Janne Karttunen, et al. ∙

research

∙ 05/10/2019

Do Autonomous Agents Benefit from Hearing?

Mapping states to actions in deep reinforcement learning is mainly based...

Abraham Woubie, et al. ∙

research

∙ 06/03/2019

Voice Mimicry Attacks Assisted by Automatic Speaker Verification

In this work, we simulate a scenario, where a publicly available ASV sys...

Ville Vestman, et al. ∙

research

∙ 06/20/2019

Unleashing the Unused Potential of I-Vectors Enabled by GPU Acceleration

Speaker embeddings are continuous-value vector representations that allo...

Ville Vestman, et al. ∙

research

∙ 07/06/2019

Towards Debugging Deep Neural Networks by Generating Speech Utterances

Deep neural networks (DNN) are able to successfully process and classify...

Bilal Soomro, et al. ∙

research

∙ 08/23/2019

Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks

Manual segmentation of rodent brain lesions from magnetic resonance imag...

Juan Miguel Valverde, et al. ∙

research

∙ 09/09/2019

Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry

We propose a four-layer fully-connected neural network (FNN) for predict...

Juan Miguel Valverde, et al. ∙

research

∙ 02/06/2020

An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning

The spoofing countermeasure (CM) systems in automatic speaker verificati...

Anssi Kanervisto, et al. ∙

research

∙ 04/02/2020

Action Space Shaping in Deep Reinforcement Learning

Reinforcement learning (RL) has been successful in training agents in va...

Anssi Kanervisto, et al. ∙

research

∙ 04/02/2020

Benchmarking End-to-End Behavioural Cloning on Video Games

Behavioural cloning, where a computer is taught to perform a task based ...

Anssi Kanervisto, et al. ∙

research

∙ 04/03/2020

Neural i-vectors

Deep speaker embeddings have been demonstrated to outperform their gener...

Ville Vestman, et al. ∙

research

∙ 04/19/2020

The Attacker's Perspective on Automatic Speaker Verification: An Overview

Security of automatic speaker verification (ASV) systems is compromised ...

Rohan Kumar Das, et al. ∙

research

∙ 05/07/2020

Playing Minecraft with Behavioural Cloning

MineRL 2019 competition challenged participants to train sample-efficien...

Anssi Kanervisto, et al. ∙

research

∙ 06/13/2020

Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya

In recent years, transformer models have achieved great success in natur...

Abrhalei Tela, et al. ∙

research

∙ 07/30/2020

A Comparative Re-Assessment of Feature Extractors for Deep Speaker Embeddings

Modern automatic speaker verification relies largely on deep neural netw...

Xuechen Liu, et al. ∙

research

∙ 12/02/2020

Policy Supervectors: General Characterization of Agents by their Behaviour

By studying the underlying policies of decision-making agents, we can le...

Anssi Kanervisto, et al. ∙

research

∙ 04/21/2021

Multi-task Learning with Attention for End-to-end Autonomous Driving

Autonomous driving systems need to handle complex scenarios such as lane...

Keishi Ishihara, et al. ∙

research

∙ 07/05/2021

Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems

Humans and other intelligent animals evolved highly sophisticated percep...

Shashank Hegde, et al. ∙

research

∙ 07/25/2021

Power of human-algorithm collaboration in solving combinatorial optimization problems

Many combinatorial optimization problems are often considered intractabl...

Tapani Toivonen, et al. ∙

research

∙ 08/03/2021

Region-wise Loss for Biomedical Image Segmentation

We propose Region-wise (RW) loss for biomedical image segmentation. Regi...

Juan Miguel Valverde, et al. ∙

research

∙ 08/06/2021

External Human-Machine Interface on Delivery Robots: Expression of Navigation Intent of the Robot

External Human-Machine Interfaces (eHMI) are widely used on robots and a...

Shyam Sundar Kannan, et al. ∙

research

∙ 10/21/2021

Optimizing Multi-Taper Features for Deep Speaker Verification

Multi-taper estimators provide low-variance power spectrum estimates tha...

Xuechen Liu, et al. ∙

research

∙ 12/13/2021

gACSON software for automated segmentation and morphology analyses of myelinated axons in 3D electron microscopy

Background and Objective: Advances in electron microscopy (EM) now allow...

Andrea Behanova, et al. ∙

research

∙ 01/19/2022

Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation

Behavioural cloning has been extensively used to train agents and is rec...

Federico Malato, et al. ∙

research

∙ 02/17/2022

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned

Reinforcement learning competitions advance the field by providing appro...

Anssi Kanervisto, et al. ∙

research

∙ 03/31/2022

Improving speaker de-identification with functional data analysis of f0 trajectories

Due to a constantly increasing amount of speech data that is stored in d...

Lauri Tavi, et al. ∙

research

∙ 04/14/2022

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback

We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lif...

Rohin Shah, et al. ∙

research

∙ 04/30/2022

Baselines and Protocols for Household Speaker Recognition

Speaker recognition on household devices, such as smart speakers, featur...

Alexey Sholokhov, et al. ∙

research

∙ 05/14/2022

GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters

Playing games with cheaters is not fun, and in a multi-billion-dollar vi...

Anssi Kanervisto, et al. ∙

research

∙ 06/05/2022

SealID: Saimaa ringed seal re-identification dataset

Wildlife camera traps and crowd-sourced image material provide novel pos...

Ekaterina Nepovinnykh, et al. ∙

University of Eastern Finland

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