1.8k citations · 3.5k across the 130 of their papers we have counts for
82 papers · 1 filter
Towards single integrated spoofing-aware speaker verification embeddings
Sung Hwan Mun, Hye-jin Shim, Hemlata Tak +12
This study aims to develop a single integrated spoofing-aware speaker verification (SASV) embeddings that satisfy two aspects. First, rejecting non-target speakers' input as well a…
Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms
Chang Zeng, Xin Wang, Xiaoxiao Miao +2
The ability of countermeasure models to generalize from seen speech synthesis methods to unseen ones has been investigated in the ASVspoof challenge. However, a new mismatch scenar…
Investigating Range-Equalizing Bias in Mean Opinion Score Ratings of Synthesized Speech
Erica Cooper, Junichi Yamagishi
Mean Opinion Score (MOS) is a popular measure for evaluating synthesized speech. However, the scores obtained in MOS tests are heavily dependent upon many contextual factors. One s…
Hiding speaker's sex in speech using zero-evidence speaker representation in an analysis/synthesis pipeline
Paul-Gauthier Noé, Xiaoxiao Miao, Xin Wang +3
The use of modern vocoders in an analysis/synthesis pipeline allows us to investigate high-quality voice conversion that can be used for privacy purposes. Here, we propose to trans…
Spoofed training data for speech spoofing countermeasure can be efficiently created using neural vocoders
Xin Wang, Junichi Yamagishi
A good training set for speech spoofing countermeasures requires diverse TTS and VC spoofing attacks, but generating TTS and VC spoofed trials for a target speaker may be technical…
Joint Speaker Encoder and Neural Back-end Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances
Chang Zeng, Xiaoxiao Miao, Xin Wang +2
Conventional automatic speaker verification systems can usually be decomposed into a front-end model such as time delay neural network (TDNN) for extracting speaker embeddings and…
Spoofing-Aware Attention based ASV Back-end with Multiple Enrollment Utterances and a Sampling Strategy for the SASV Challenge 2022
Chang Zeng, Lin Zhang, Meng Liu +1
Current state-of-the-art automatic speaker verification (ASV) systems are vulnerable to presentation attacks, and several countermeasures (CMs), which distinguish bona fide trials…
The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance
Lin Zhang, Xin Wang, Erica Cooper +2
Automatic speaker verification is susceptible to various manipulations and spoofing, such as text-to-speech synthesis, voice conversion, replay, tampering, adversarial attacks, and…
Joint Noise Reduction and Listening Enhancement for Full-End Speech Enhancement
Haoyu Li, Yun Liu, Junichi Yamagishi
Speech enhancement (SE) methods mainly focus on recovering clean speech from noisy input. In real-world speech communication, however, noises often exist in not only speaker but al…
Investigating Active-learning-based Training Data Selection for Speech Spoofing Countermeasure
Xin Wang, Junich Yamagishi
Training a spoofing countermeasure (CM) that generalizes to various unseen data is desired but challenging. While methods such as data augmentation and self-supervised learning are…
The VoicePrivacy 2022 Challenge Evaluation Plan
Natalia Tomashenko, Xin Wang, Xiaoxiao Miao +7
For new participants - Executive summary: (1) The task is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting lingu…
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
Hemlata Tak, Massimiliano Todisco, Xin Wang +3
The performance of spoofing countermeasure systems depends fundamentally upon the use of sufficiently representative training data. With this usually being limited, current solutio…
A Practical Guide to Logical Access Voice Presentation Attack Detection
Xin Wang, Junichi Yamagishi
Voice-based human-machine interfaces with an automatic speaker verification (ASV) component are commonly used in the market. However, the threat from presentation attacks is also g…
Investigating self-supervised front ends for speech spoofing countermeasures
Xin Wang, Junichi Yamagishi
Self-supervised speech model is a rapid progressing research topic, and many pre-trained models have been released and used in various down stream tasks. For speech anti-spoofing,…
Revisiting Speech Content Privacy
Jennifer Williams, Junichi Yamagishi, Paul-Gauthier Noe +2
In this paper, we discuss an important aspect of speech privacy: protecting spoken content. New capabilities from the field of machine learning provide a unique and timely opportun…
Estimating the confidence of speech spoofing countermeasure
Xin Wang, Junichi Yamagishi
Conventional speech spoofing countermeasures (CMs) are designed to make a binary decision on an input trial. However, a CM trained on a closed-set database is theoretically not gua…
Generalization Ability of MOS Prediction Networks
Erica Cooper, Wen-Chin Huang, Tomoki Toda +1
Automatic methods to predict listener opinions of synthesized speech remain elusive since listeners, systems being evaluated, characteristics of the speech, and even the instructio…
DDS: A new device-degraded speech dataset for speech enhancement
Haoyu Li, Junichi Yamagishi
A large and growing amount of speech content in real-life scenarios is being recorded on consumer-grade devices in uncontrolled environments, resulting in degraded speech quality.…
ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection
Junichi Yamagishi, Xin Wang, Massimiliano Todisco +8
ASVspoof 2021 is the forth edition in the series of bi-annual challenges which aim to promote the study of spoofing and the design of countermeasures to protect automatic speaker v…
ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
Héctor Delgado, Nicholas Evans, Tomi Kinnunen +8
The automatic speaker verification spoofing and countermeasures (ASVspoof) challenge series is a community-led initiative which aims to promote the consideration of spoofing and th…
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds
Xuan Shi, Erica Cooper, Junichi Yamagishi
Constructing an embedding space for musical instrument sounds that can meaningfully represent new and unseen instruments is important for downstream music generation tasks such as…
SVSNet: An End-to-end Speaker Voice Similarity Assessment Model
Cheng-Hung Hu, Yu-Huai Peng, Junichi Yamagishi +2
Neural evaluation metrics derived for numerous speech generation tasks have recently attracted great attention. In this paper, we propose SVSNet, the first end-to-end neural networ…
Exploring Disentanglement with Multilingual and Monolingual VQ-VAE
Jennifer Williams, Jason Fong, Erica Cooper +1
This work examines the content and usefulness of disentangled phone and speaker representations from two separately trained VQ-VAE systems: one trained on multilingual data and ano…
Multi-Metric Optimization using Generative Adversarial Networks for Near-End Speech Intelligibility Enhancement
Haoyu Li, Junichi Yamagishi
The intelligibility of speech severely degrades in the presence of environmental noise and reverberation. In this paper, we propose a novel deep learning based system for modifying…