Nikolay Mikhaylovskiy

According to our database, Nikolay Mikhaylovskiy authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

Long Text Generation Challenge.

Nikolay Mikhaylovskiy

CoRR, 2023

Autocorrelations Decay in Texts and Applicability Limits of Language Models.

Nikolay Mikhaylovskiy, Ilya Churilov

CoRR, 2023

Everyday Conversations: A Comparative Study of Expert Transcriptions and ASR Outputs at a Lexical Level.

Tatiana Y. Sherstinova, Rostislav Kolobov, Nikolay Mikhaylovskiy

Proceedings of the Speech and Computer - 25th International Conference, 2023

Long Story Generation Challenge.

Nikolay Mikhaylovskiy

Proceedings of the 16th International Natural Language Generation Conference, 2023

Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn't.

Eugene Borisov, Nikolay Mikhaylovskiy

Proceedings of the 16th International Natural Language Generation Conference, 2023

2022

On Unsupervised Training of Link Grammar Based Language Models.

Nikolay Mikhaylovskiy

CoRR, 2022

Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants.

Eduard Zubchuk, Dmitry Menshikov, Nikolay Mikhaylovskiy

CoRR, 2022

2021

Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions.

Roman Bedyakin, Nikolay Mikhaylovskiy

CoRR, 2021

Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions.

Roman Bedyakin, Nikolay Mikhaylovskiy

CoRR, 2021

MediaSpeech: Multilanguage ASR Benchmark and Dataset.

Rostislav Kolobov, Olga Okhapkina, Olga Omelchishina, Andrey Platunov, Roman Bedyakin, Vyacheslav Moshkin, Dmitry Menshikov, Nikolay Mikhaylovskiy

CoRR, 2021

Learning Efficient Representations for Keyword Spotting with Triplet Loss.

Roman Vygon, Nikolay Mikhaylovskiy

Proceedings of the Speech and Computer - 23rd International Conference, 2021

Video monitoring over anti-decubitus protocol execution with a deep neural network to prevent pressure ulcer.

Ivan Danilovich, Vyacheslav Moshkin, Alexander Reimche, Mikhail Tevelevich, Nikolay Mikhaylovskiy

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

How Do You Test the Strength of AI?

Nikolay Mikhaylovskiy

Proceedings of the Artificial General Intelligence - 13th International Conference, 2020