2 papers
cs.SD2023
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
Amantur Amatov, Dmitry Lamanov, Maksim Titov +3
Query-by-Humming (QbH) is a task that involves finding the most relevant song based on a hummed or sung fragment. Despite recent successful commercial solutions, implementing QbH s…
cs.CL2022
Template-based Approach to Zero-shot Intent Recognition
Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova +3
The recent advances in transfer learning techniques and pre-training of large contextualized encoders foster innovation in real-life applications, including dialog assistants. Prac…