3 citations · 4 across the 3 of their papers we have counts for
10 papers
Speaker adaptation for Wav2vec2 based dysarthric ASR
Murali Karthick Baskar, Tim Herzig, Diana Nguyen +4
Dysarthric speech recognition has posed major challenges due to lack of training data and heavy mismatch in speaker characteristics. Recent ASR systems have benefited from readily…
Ask2Mask: Guided Data Selection for Masked Speech Modeling
Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran +2
Masked speech modeling (MSM) methods such as wav2vec2 or w2v-BERT learn representations over speech frames which are randomly masked within an utterance. While these methods improv…
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition
Murali Karthick Baskar, Lukáš Burget, Shinji Watanabe +2
Self-supervised ASR-TTS models suffer in out-of-domain data conditions. Here we propose an enhanced ASR-TTS (EAT) model that incorporates two main features: 1) The ASR…
BUT Opensat 2019 Speech Recognition System
Martin Karafiát, Murali Karthick Baskar, Igor Szöke +3
The paper describes the BUT Automatic Speech Recognition (ASR) systems submitted for OpenSAT evaluations under two domain categories such as low resourced languages and public safe…
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text
Murali Karthick Baskar, Shinji Watanabe, Ramon Astudillo +3
Sequence-to-sequence automatic speech recognition (ASR) models require large quantities of data to attain high performance. For this reason, there has been a recent surge in intere…
Analysis of Multilingual Sequence-to-Sequence speech recognition systems
Martin Karafiát, Murali Karthick Baskar, Shinji Watanabe +3
This paper investigates the applications of various multilingual approaches developed in conventional hidden Markov model (HMM) systems to sequence-to-sequence (seq2seq) automatic…