24 citations · 66 across the 28 of their papers we have counts for
5 papers · 2 filters
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…
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…
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…
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…