10 citations · 17 across the 5 of their papers we have counts for
6 papers
On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice
Ankit Shah, Hira Dhamyal, Yang Gao +4
Lately, there has been a global effort by multiple research groups to detect COVID-19 from voice. Different researchers use different kinds of information from the voice signal to…
Generalized Spoofing Detection Inspired from Audio Generation Artifacts
Yang Gao, Tyler Vuong, Mahsa Elyasi +2
State-of-the-art methods for audio generation suffer from fingerprint artifacts and repeated inconsistencies across temporal and spectral domains. Such artifacts could be well capt…
Interactive Text-to-Speech System via Joint Style Analysis
Yang Gao, Weiyi Zheng, Zhaojun Yang +3
While modern TTS technologies have made significant advancements in audio quality, there is still a lack of behavior naturalness compared to conversing with people. We propose a st…
Hierarchical Routing Mixture of Experts
Wenbo Zhao, Yang Gao, Shahan Ali Memon +2
In regression tasks the distribution of the data is often too complex to be fitted by a single model. In contrast, partition-based models are developed where data is divided and fi…
Voice Impersonation using Generative Adversarial Networks
Yang Gao, Rita Singh, Bhiksha Raj
Voice impersonation is not the same as voice transformation, although the latter is an essential element of it. In voice impersonation, the resultant voice must convincingly convey…
Speaker identification from the sound of the human breath
Wenbo Zhao, Yang Gao, Rita Singh
This paper examines the speaker identification potential of breath sounds in continuous speech. Speech is largely produced during exhalation. In order to replenish air in the lungs…