Murali Karthick Baskar | DeepAI

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∙ 08/14/2023

O-1: Self-training with Oracle and 1-best Hypothesis

We introduce O-1, a new self-training objective to reduce training bias ...

0 Murali Karthick Baskar, et al. ∙

∙ 03/10/2023

Robust Knowledge Distillation from RNN-T Models With Noisy Training Labels Using Full-Sum Loss

This work studies knowledge distillation (KD) and addresses its constrai...

0 Mohammad Zeineldeen, et al. ∙

∙ 04/02/2022

Speaker adaptation for Wav2vec2 based dysarthric ASR

Dysarthric speech recognition has posed major challenges due to lack of ...

0 Murali Karthick Baskar, et al. ∙

∙ 02/24/2022

Ask2Mask: Guided Data Selection for Masked Speech Modeling

Masked speech modeling (MSM) methods such as wav2vec2 or w2v-BERT learn ...

0 Murali Karthick Baskar, et al. ∙

∙ 04/13/2021

EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition

Self-supervised ASR-TTS models suffer in out-of-domain data conditions. ...

0 Murali Karthick Baskar, et al. ∙

∙ 01/30/2020

BUT Opensat 2019 Speech Recognition System

The paper describes the BUT Automatic Speech Recognition (ASR) systems s...

0 Martin Karafiat, et al. ∙

∙ 04/30/2019

Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text

Sequence-to-sequence ASR models require large quantities of data to atta...

0 Murali Karthick Baskar, et al. ∙

∙ 11/07/2018

Analysis of Multilingual Sequence-to-Sequence speech recognition systems

This paper investigates the applications of various multilingual approac...

0 Martin Karafiat, et al. ∙

∙ 11/07/2018

Promising Accurate Prefix Boosting for sequence-to-sequence ASR

In this paper, we present promising accurate prefix boosting (PAPB), a d...

0 Murali Karthick Baskar, et al. ∙

∙ 11/06/2018

Language model integration based on memory control for sequence to sequence speech recognition

In this paper, we explore several new schemes to train a seq2seq model t...

0 Jaejin Cho, et al. ∙

∙ 11/06/2018

Transfer learning of language-independent end-to-end ASR with language model fusion

This work explores better adaptation methods to low-resource languages u...

0 Hirofumi Inaguma, et al. ∙

∙ 10/04/2018

Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling

Sequence-to-sequence (seq2seq) approach for low-resource ASR is a relati...

0 Jaejin Cho, et al. ∙

∙ 08/06/2018

Residual Memory Networks: Feed-forward approach to learn long temporal dependencies

Training deep recurrent neural network (RNN) architectures is complicate...

0 Murali Karthick Baskar, et al. ∙

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