Search Results for author: Ivan Medennikov

Found 8 papers, 2 papers with code

LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring

1 code implementation • 6 Apr 2021 • Anton Mitrofanov, Mariya Korenevskaya, Ivan Podluzhny, Yuri Khokhlov, Aleksandr Laptev, Andrei Andrusenko, Aleksei Ilin, Maxim Korenevsky, Ivan Medennikov, Aleksei Romanenko

We propose a novel rescoring approach, which processes the entire lattice in a single call to the model.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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Dynamic Acoustic Unit Augmentation With BPE-Dropout for Low-Resource End-to-End Speech Recognition

no code implementations • 12 Mar 2021 • Aleksandr Laptev, Andrei Andrusenko, Ivan Podluzhny, Anton Mitrofanov, Ivan Medennikov, Yuri Matveev

Researchers and industry prefer to use end-to-end ASR systems for on-device speech recognition tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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Exploration of End-to-End ASR for OpenSTT -- Russian Open Speech-to-Text Dataset

no code implementations • 15 Jun 2020 • Andrei Andrusenko, Aleksandr Laptev, Ivan Medennikov

This paper presents an exploration of end-to-end automatic speech recognition systems (ASR) for the largest open-source Russian language data set -- OpenSTT.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

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You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

no code implementations • 14 May 2020 • Aleksandr Laptev, Roman Korostik, Aleksey Svischev, Andrei Andrusenko, Ivan Medennikov, Sergey Rybin

Data augmentation is one of the most effective ways to make end-to-end automatic speech recognition (ASR) perform close to the conventional hybrid approach, especially when dealing with low-resource tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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Target-Speaker Voice Activity Detection: a Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario

no code implementations • 14 May 2020 • Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, Yuri Khokhlov, Mariya Korenevskaya, Ivan Sorokin, Tatiana Timofeeva, Anton Mitrofanov, Andrei Andrusenko, Ivan Podluzhny, Aleksandr Laptev, Aleksei Romanenko

We propose a novel Target-Speaker Voice Activity Detection (TS-VAD) approach, which directly predicts an activity of each speaker on each time frame.

Action Detection Activity Detection +4

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Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription

1 code implementation • 22 Apr 2020 • Andrei Andrusenko, Aleksandr Laptev, Ivan Medennikov

To demonstrate this, we use the CHiME-6 Challenge data as an example of challenging environments and noisy conditions of everyday speech.

Ranked #4 on Speech Recognition on CHiME-6 dev_gss12

Data Augmentation Speech Enhancement +2

7,874

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Exploring End-to-End Techniques for Low-Resource Speech Recognition

no code implementations • 2 Jul 2018 • Vladimir Bataev, Maxim Korenevsky, Ivan Medennikov, Alexander Zatvornitskiy

In this work we present simple grapheme-based system for low-resource speech recognition using Babel data for Turkish spontaneous speech (80 hours).

speech-recognition Speech Recognition

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Fast and Accurate OOV Decoder on High-Level Features

no code implementations • 19 Jul 2017 • Yuri Khokhlov, Natalia Tomashenko, Ivan Medennikov, Alexei Romanenko

The proposed approach is based on using high-level features from an automatic speech recognition (ASR) system, so called phoneme posterior based (PPB) features, for decoding.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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