Xuechen Liu | DeepAI

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∙ 05/30/2023

Towards single integrated spoofing-aware speaker verification embeddings

This study aims to develop a single integrated spoofing-aware speaker ve...

2 Sung Hwan Mun, et al. ∙

∙ 03/02/2023

Speaker-Aware Anti-Spoofing

We address speaker-aware anti-spoofing, where prior knowledge of the tar...

0 Xuechen Liu, et al. ∙

∙ 03/02/2023

Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification

Deep speaker models yield low error rates in speaker verification. Nonet...

0 Xuechen Liu, et al. ∙

∙ 10/05/2022

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

Benchmarking initiatives support the meaningful comparison of competing ...

0 Xuechen Liu, et al. ∙

∙ 04/30/2022

Baselines and Protocols for Household Speaker Recognition

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

0 Alexey Sholokhov, et al. ∙

∙ 04/21/2022

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion

Deep learning has brought impressive progress in the study of both autom...

0 Hye-Jin Shim, et al. ∙

∙ 03/21/2022

Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation

In this paper, we initiate the concern of enhancing the spoofing robustn...

0 Xuechen Liu, et al. ∙

∙ 02/10/2022

Learnable Nonlinear Compression for Robust Speaker Verification

In this study, we focus on nonlinear compression methods in spectral fea...

0 Xuechen Liu, et al. ∙

∙ 10/21/2021

Optimizing Multi-Taper Features for Deep Speaker Verification

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

0 Xuechen Liu, et al. ∙

∙ 09/24/2021

Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification

After their introduction to robust speech recognition, power normalized ...

0 Xuechen Liu, et al. ∙

∙ 09/24/2021

Parameterized Channel Normalization for Far-field Deep Speaker Verification

We address far-field speaker verification with deep neural network (DNN)...

0 Xuechen Liu, et al. ∙

∙ 09/01/2021

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

ASVspoof 2021 is the forth edition in the series of bi-annual challenges...

1 Junichi Yamagishi, et al. ∙

∙ 09/01/2021

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

The automatic speaker verification spoofing and countermeasures (ASVspoo...

2 Hector Delgado, et al. ∙

∙ 09/01/2021

Benchmarking and challenges in security and privacy for voice biometrics

For many decades, research in speech technologies has focused upon impro...

0 Jean-Francois Bonastre, et al. ∙

∙ 02/20/2021

Learnable MFCCs for Speaker Verification

We propose a learnable mel-frequency cepstral coefficient (MFCC) fronten...

0 Xuechen Liu, et al. ∙

∙ 07/30/2020

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

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

0 Xuechen Liu, et al. ∙

∙ 07/26/2020

UIAI System for Short-Duration Speaker Verification Challenge 2020

In this work, we present the system description of the UIAI entry for th...

0 Md Sahidullah, et al. ∙

∙ 08/31/2018

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

AISHELL-1 is by far the largest open-source speech corpus available for ...

0 Jiayu Du, et al. ∙

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