Vikentii Pankov Email & Phone Number

Armenia

Armenia

R&D in Speech Processing using Deep Learning Methods: TTS, voice conversion, speaker recognitionKey achievements:1) Developed and trained a bimodal (speech and face) verification MVP solution using PyTorch, reducing the Equal Error Rate (EER) from 1.01% (speech only) to 0.34% (speech+face).2) Collected and preprocessed large datasets using SQL, PySpark, and clustering methods for testing and fine-tuning the release model.3) Leveraged expertise in PyTorch, computer vision, knowledge from paper overviews, and experiments with different training methods/architectures to develop an alternative speaker recognition solution, achieving a significant (1.1--2x) improvement in False Rejection Rate (FRR) compared to the baseline and competitors' solutions.3) Created a zero-shot speech synthesis solution using PyTorch, HuBERT model, and Variational Autoencoder-based Text-to-Speech (TTS) model. Achieved a remarkable 70% relative improvement in speaker similarity and significantly improved robustness to noise in the reference speech.4) Developed a noisy-robust zero-shot speech synthesis method by modifying the VITS architecture. Introduced a self-supervised DINO loss for joint training of a speaker verification model and a unit-based VITS, resulting in substantial enhancements in robustness and speaker similarity. Currently under review at ICASSP 2024

St Petersburg, St Petersburg City, Russia

Development of a predictive system based on ML, statistical, and optimization methodsTechnologies: C#, PythonKey Achievements:1) Implemented features for associated petroleum gas production forecasting using C#, DBSCAN, linear regression, and derivative-free optimization methods.2) Developed a feature for estimating required volumes of water injection into wells using C#, linear regression, and numerical methods for solving differential equations.3) Conducted code refactoring and test coverage, resulting in a significant reduction in the number of bugs in the production solution.The developed methods have successfully contributed to forming and improving the accuracy of forecasts for geologists.

Master'S Degree, Software And Administration Of Information Systems, 4.8

Additional Education, Algorithmic Bioinformatics

Algorithms in Bioinformatics, Statistics, Machine Learning, Bioinformatic Data Analysis

Bachelor'S Degree, Applied Mathematics And Computer Science