Oleg Rybakov

According to our database, Oleg Rybakov authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS).

Yandong Luo, Johan Vanderhaegen, Oleg Rybakov, Martin Kraemer, Niel Warren, Shimeng Yu

IEEE Trans. Emerg. Top. Comput., 2024

USM RNN-T model weights binarization.

Oleg Rybakov, Dmitriy Serdyuk, Chengjian Zheng

CoRR, 2024

SimulTron: On-Device Simultaneous Speech to Speech Translation.

Alex Agranovich, Eliya Nachmani, Oleg Rybakov, Yifan Ding, Ye Jia, Nadav Bar, Heiga Zen, Michelle Tadmor Ramanovich

CoRR, 2024

FedAQT: Accurate Quantized Training with Federated Learning.

Renkun Ni, Yonghui Xiao, Phoenix Meadowlark, Oleg Rybakov, Tom Goldstein, Ananda Theertha Suresh, Ignacio López-Moreno, Mingqing Chen, Rajiv Mathews

Proceedings of the IEEE International Conference on Acoustics, 2024

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models.

Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models.

David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He

CoRR, 2023

Real time spectrogram inversion on mobile phone.

Oleg Rybakov, Marco Tagliasacchi, Yunpeng Li, Liyang Jiang, Xia Zhang, Fadi Biadsy

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2-bit Conformer quantization for automatic speech recognition.

Oleg Rybakov, Phoenix Meadowlark, Shaojin Ding, David Qiu, Jian Li, David Rim, Yanzhang He

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Streaming Parrotron for on-device speech-to-speech conversion.

Oleg Rybakov, Fadi Biadsy, Xia Zhang, Liyang Jiang, Phoenix Meadowlark, Shivani Agrawal

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition.

Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh

Proceedings of the International Conference on Machine Learning, 2023

2022

4-bit Conformer with Native Quantization Aware Training for Speech Recognition.

Shaojin Ding, Phoenix Meadowlark, Yanzhang He, Lukasz Lew, Shivani Agrawal, Oleg Rybakov

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization.

Fadi Biadsy, Youzheng Chen, Xia Zhang, Oleg Rybakov, Andrew Rosenberg, Pedro J. Moreno

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Real-Time Speech Frequency Bandwidth Extension.

Yunpeng Li, Marco Tagliasacchi, Oleg Rybakov, Victor Ungureanu, Dominik Roblek

Proceedings of the IEEE International Conference on Acoustics, 2021

Pareto-Optimal Quantized ResNet Is Mostly 4-Bit.

AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Streaming Keyword Spotting on Mobile Devices.

Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirkó Visontai, Stella Laurenzo

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Two Tiered Distributed Training Algorithm for Acoustic Modeling.

Pranav Ladkat, Oleg Rybakov, Radhika Arava, Sree Hari Krishnan Parthasarathi, I-Fan Chen, Nikko Strom

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting.

Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

The Effectiveness of a two-Layer Neural Network for Recommendations.

Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric T. Nalisnick, Leo Dirac, Runfei Luo

Proceedings of the 6th International Conference on Learning Representations, 2018