activity
20192023
most citedAttention Back-end for Automatic Speaker Verification with Multiple Enrollment Utterances

24 citations · 66 across the 28 of their papers we have counts for

collaborators
Showing 2021Show all

10 papers · 1 filter

cs.SD2021

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…

cs.SD2021★ 10 cited

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…

eess.AS2021

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…

cs.SD2021★ 1 cited

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…

eess.AS2021

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…

cs.SD2021★ 1 cited

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…

eess.AS2021★ 1 cited

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…

cs.SD2021★ 1 cited

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…

eess.AS2021★ 1 cited

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…

eess.AS2021★ 24 cited

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…