University of Eastern Finland

Robustness of Voice Conversion Techniques Under Mismatched Conditions

Most of the existing studies on voice conversion (VC) are conducted in a...
12/22/2016 ∙ by Monisankha Pal, et al. ∙ 0 ∙ share

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

Spectral imaging has received enormous interest in the field of medical ...
12/14/2016 ∙ by Md. Abul Hasnat, et al. ∙ 0 ∙ share

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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...
03/02/2018 ∙ by Jaime Lorenzo-Trueba, et al. ∙ 0 ∙ share

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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...
04/25/2018 ∙ by Tomi Kinnunen, et al. ∙ 0 ∙ share

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Staircase Network: structural language identification via hierarchical attentive units

Language recognition system is typically trained directly to optimize cl...
04/30/2018 ∙ by Trung Ngo Trong, et al. ∙ 0 ∙ share

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Supervector Compression Strategies to Speed up I-Vector System Development

The front-end factor analysis (FEFA), an extension of principal componen...
05/03/2018 ∙ by Ville Vestman, et al. ∙ 0 ∙ share

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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...
05/08/2018 ∙ by Akihiro Kato, et al. ∙ 0 ∙ share

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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...
07/02/2018 ∙ by Akihiro Kato, et al. ∙ 0 ∙ share

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ToriLLE: Learning Environment for Hand-to-Hand Combat

We present Toribash Learning Environment (ToriLLE), an interface with vi...
07/26/2018 ∙ by Anssi Kanervisto, et al. ∙ 0 ∙ share

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

Automatic speaker verification (ASV) systems use a playback detector to ...
09/12/2018 ∙ by Fuming Fang, et al. ∙ 0 ∙ share

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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...
11/30/2018 ∙ by S. J. Hamilton, et al. ∙ 0 ∙ share

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

Automatic speaker verification (ASV) is the process to recognize persons...
12/03/2018 ∙ by Arnab Poddar, et al. ∙ 0 ∙ share

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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...
01/23/2019 ∙ by Dipjyoti Paul, et al. ∙ 0 ∙ share

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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...
04/16/2019 ∙ by Kong Aik Lee, et al. ∙ 0 ∙ share

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

Training agents with reinforcement learning based techniques requires th...
05/02/2019 ∙ by Janne Karttunen, et al. ∙ 0 ∙ share

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Do Autonomous Agents Benefit from Hearing?

Mapping states to actions in deep reinforcement learning is mainly based...
05/10/2019 ∙ by Abraham Woubie, et al. ∙ 0 ∙ share

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Voice Mimicry Attacks Assisted by Automatic Speaker Verification

In this work, we simulate a scenario, where a publicly available ASV sys...
06/03/2019 ∙ by Ville Vestman, et al. ∙ 0 ∙ share

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

Speaker embeddings are continuous-value vector representations that allo...
06/20/2019 ∙ by Ville Vestman, et al. ∙ 0 ∙ share

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Towards Debugging Deep Neural Networks by Generating Speech Utterances

Deep neural networks (DNN) are able to successfully process and classify...
07/06/2019 ∙ by Bilal Soomro, et al. ∙ 0 ∙ share

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Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks

Manual segmentation of rodent brain lesions from magnetic resonance imag...
08/23/2019 ∙ by Juan Miguel Valverde, et al. ∙ 0 ∙ share

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

We propose a four-layer fully-connected neural network (FNN) for predict...
09/09/2019 ∙ by Juan Miguel Valverde, et al. ∙ 0 ∙ share

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

The spoofing countermeasure (CM) systems in automatic speaker verificati...
02/06/2020 ∙ by Anssi Kanervisto, et al. ∙ 0 ∙ share

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Action Space Shaping in Deep Reinforcement Learning

Reinforcement learning (RL) has been successful in training agents in va...
04/02/2020 ∙ by Anssi Kanervisto, et al. ∙ 0 ∙ share

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Benchmarking End-to-End Behavioural Cloning on Video Games

Behavioural cloning, where a computer is taught to perform a task based ...
04/02/2020 ∙ by Anssi Kanervisto, et al. ∙ 0 ∙ share

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Neural i-vectors

Deep speaker embeddings have been demonstrated to outperform their gener...
04/03/2020 ∙ by Ville Vestman, et al. ∙ 0 ∙ share

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

Security of automatic speaker verification (ASV) systems is compromised ...
04/19/2020 ∙ by Rohan Kumar Das, et al. ∙ 0 ∙ share

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Playing Minecraft with Behavioural Cloning

MineRL 2019 competition challenged participants to train sample-efficien...
05/07/2020 ∙ by Anssi Kanervisto, et al. ∙ 0 ∙ share

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

In recent years, transformer models have achieved great success in natur...
06/13/2020 ∙ by Abrhalei Tela, et al. ∙ 0 ∙ share

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

Modern automatic speaker verification relies largely on deep neural netw...
07/30/2020 ∙ by Xuechen Liu, et al. ∙ 0 ∙ share

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Policy Supervectors: General Characterization of Agents by their Behaviour

By studying the underlying policies of decision-making agents, we can le...
12/02/2020 ∙ by Anssi Kanervisto, et al. ∙ 0 ∙ share

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

Autonomous driving systems need to handle complex scenarios such as lane...
04/21/2021 ∙ by Keishi Ishihara, et al. ∙ 0 ∙ share

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University of Eastern Finland

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