50 citations · 66 across the 11 of their papers we have counts for
4 papers · 1 filter
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions
Roman Bedyakin, Nikolay Mikhaylovskiy
This memo describes NTR/TSU winning submission for Low Resource ASR challenge at Dialog2021 conference, language identification track. Spoken Language Identification (LID) is an im…
Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions
Roman Bedyakin, Nikolay Mikhaylovskiy
This memo describes NTR-TSU submission for SIGTYP 2021 Shared Task on predicting language IDs from speech. Spoken Language Identification (LID) is an important step in a multilingu…
MediaSpeech: Multilanguage ASR Benchmark and Dataset
Rostislav Kolobov, Olga Okhapkina, Olga Omelchishina +5
The performance of automated speech recognition (ASR) systems is well known to differ for varied application domains. At the same time, vendors and research groups typically report…
Learning Efficient Representations for Keyword Spotting with Triplet Loss
Roman Vygon, Nikolay Mikhaylovskiy
In the past few years, triplet loss-based metric embeddings have become a de-facto standard for several important computer vision problems, most no-tably, person reidentification.…