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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
An Empirical Study on Channel Effects for Synthetic Voice SpoofingCountermeasure Systems
You Zhang, Ge Zhu, Fei Jiang, Zhiyao Duan. Interspeech 2021
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
Xinhui Chen*, You Zhang*, Ge Zhu*(equal contribution), Zhiyao Duan Interspeech 2021
Y-Vector: Multiscale Waveform Encoder for Speaker Embedding
Ge Zhu, Fei Jiang, Zhiyao Duan. Interspeech 2021
A Study of the Robustness of Raw Waveform Based Speaker Embeddings Under Mismatched Conditions
Ge Zhu, Frank Cwitkowitz, Zhiyao Duan. ICASSP 2022
A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification
You Zhang, Ge Zhu, Zhiyao Duan. Odyssey 2022
Filler Word Detection and Classification: A Dataset and Benchmark
Ge Zhu, Juan-Pablo Caceres, Justin Salamon. Interspeech 2022
Music Source Separation with Generative Flow
Ge Zhu, Jordan Darefsky, Fei Jiang, Anton Selitskiy, Zhiyao Duan. IEEE Signal Processing Letters 2022
Transcription Free Filler Word Detection with Neural semi-CRFs
Ge Zhu, Yujia Yan, Juan-Pablo Caceres, Zhiyao Duan. ICASSP 2023
EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis
Ge Zhu, Yutong Wen, Marc-André Carbonneau, Zhiyao Duan. NeurIPS 2023 ML4Audio Workshop
talks
teaching
TA: Fundamentals of Acoustics
Undergraduate and Graduate course, Physics, Nanjing University, 2018
This course introduces the fundamentals of acoustics, it starts with acoustics/electro-mechanical analogies and then discuss the propagation, absorption, reflection, radiation and scattering of sound waves.
TA: ECE 241: Signals (Fall 2018)
Undergraduate course, ECE, University of Rochester, 2018
This course provides the mathematical foundations for the representation, processing, analysis, and reproduction of signals and of the systems and algorithms used to process these. The course is intended for junior/senior undergraduate level students in Electrical and Computer Engineering.
TA: ECE 277/477 Computer Audition (Fall 2019)
Undergraduate and Graduate course, ECE, University of Rochester, 2019
This course is a graduate course (cross listed for senior undergrads) covering current research in the field. The class starts with a brief review of signal processing techniques, then introduces auditory models, audio features, and audio modeling methods. Recent advances in state-of-the-art research topics including multi-pitch analysis, source separation, source localization, instrument identification then follow.
TA: ECE 272/472: Audio Signal Processing (Spring 2019)
Undergraduate and Graduate course, ECE, University of Rochester, 2019
This course is a survey of audio digital signal processing fundamentals and applications. Topics include sampling and quantization, analog to digital converters, time and frequency domains, spectral analysis, vocoding, digital filters, audio effects, music audio analysis and synthesis, and other advanced topics in audio signal processing. Implementation of algorithms using Matlab and dedicated DSP platforms is emphasized.