24 citations · 66 across the 28 of their papers we have counts for
29 papers
Exploring Isolated Musical Notes as Pre-training Data for Predominant Instrument Recognition in Polyphonic Music
Lifan Zhong, Erica Cooper, Junichi Yamagishi +1
With the growing amount of musical data available, automatic instrument recognition, one of the essential problems in Music Information Retrieval (MIR), is drawing more and more at…
Range-Based Equal Error Rate for Spoof Localization
Lin Zhang, Xin Wang, Erica Cooper +2
Spoof localization, also called segment-level detection, is a crucial task that aims to locate spoofs in partially spoofed audio. The equal error rate (EER) is widely used to measu…
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…
Speaker anonymization using orthogonal Householder neural network
Xiaoxiao Miao, Xin Wang, Erica Cooper +2
Speaker anonymization aims to conceal a speaker's identity while preserving content information in speech. Current mainstream neural-network speaker anonymization systems disentang…
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…
Can Knowledge of End-to-End Text-to-Speech Models Improve Neural MIDI-to-Audio Synthesis Systems?
Xuan Shi, Erica Cooper, Xin Wang +2
With the similarity between music and speech synthesis from symbolic input and the rapid development of text-to-speech (TTS) techniques, it is worthwhile to explore ways to improve…
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…
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…
Analyzing Language-Independent Speaker Anonymization Framework under Unseen Conditions
Xiaoxiao Miao, Xin Wang, Erica Cooper +2
In our previous work, we proposed a language-independent speaker anonymization system based on self-supervised learning models. Although the system can anonymize speech data of any…
The VoiceMOS Challenge 2022
Wen-Chin Huang, Erica Cooper, Yu Tsao +3
We present the first edition of the VoiceMOS Challenge, a scientific event that aims to promote the study of automatic prediction of the mean opinion score (MOS) of synthetic speec…
Language-Independent Speaker Anonymization Approach using Self-Supervised Pre-Trained Models
Xiaoxiao Miao, Xin Wang, Erica Cooper +2
Speaker anonymization aims to protect the privacy of speakers while preserving spoken linguistic information from speech. Current mainstream neural network speaker anonymization sy…
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
Cheng-I Jeff Lai, Erica Cooper, Yang Zhang +8
Are end-to-end text-to-speech (TTS) models over-parametrized? To what extent can these models be pruned, and what happens to their synthesis capabilities? This work serves as a sta…
LDNet: Unified Listener Dependent Modeling in MOS Prediction for Synthetic Speech
Wen-Chin Huang, Erica Cooper, Junichi Yamagishi +1
An effective approach to automatically predict the subjective rating for synthetic speech is to train on a listening test dataset with human-annotated scores. Although each speech…
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…
Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection
Lin Zhang, Xin Wang, Erica Cooper +1
In this paper, we provide a series of multi-tasking benchmarks for simultaneously detecting spoofing at the segmental and utterance levels in the PartialSpoof database. First, we p…
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…
How do Voices from Past Speech Synthesis Challenges Compare Today?
Erica Cooper, Junichi Yamagishi
Shared challenges provide a venue for comparing systems trained on common data using a standardized evaluation, and they also provide an invaluable resource for researchers when th…
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…
Text-to-Speech Synthesis Techniques for MIDI-to-Audio Synthesis
Erica Cooper, Xin Wang, Junichi Yamagishi
Speech synthesis and music audio generation from symbolic input differ in many aspects but share some similarities. In this study, we investigate how text-to-speech synthesis techn…
An Initial Investigation for Detecting Partially Spoofed Audio
Lin Zhang, Xin Wang, Erica Cooper +3
All existing databases of spoofed speech contain attack data that is spoofed in its entirety. In practice, it is entirely plausible that successful attacks can be mounted with utte…
Attention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances
Chang Zeng, Xin Wang, Erica Cooper +2
Probabilistic linear discriminant analysis (PLDA) or cosine similarity have been widely used in traditional speaker verification systems as back-end techniques to measure pairwise…
Pretraining Strategies, Waveform Model Choice, and Acoustic Configurations for Multi-Speaker End-to-End Speech Synthesis
Erica Cooper, Xin Wang, Yi Zhao +2
We explore pretraining strategies including choice of base corpus with the aim of choosing the best strategy for zero-shot multi-speaker end-to-end synthesis. We also examine choic…
How Similar or Different Is Rakugo Speech Synthesizer to Professional Performers?
Shuhei Kato, Yusuke Yasuda, Xin Wang +2
We have been working on speech synthesis for rakugo (a traditional Japanese form of verbal entertainment similar to one-person stand-up comedy) toward speech synthesis that authent…
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm
Jennifer Williams, Yi Zhao, Erica Cooper +1
We present a new approach to disentangle speaker voice and phone content by introducing new components to the VQ-VAE architecture for speech synthesis. The original VQ-VAE does not…