Basil Abraham
10 papers · 2016–2020 · 1 venue · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 📈 Trend Setter
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Speech & Audio
(8)
Recognition
(8)
Deep Learning
(6)
Application Areas
(6)
Learning Types · Deep Learning
(4)
Architectures
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Learning Paradigms
(2)
Mathematics & Optimization
(1)
Optimization
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
automatic speech recognition
(5)
low-resource language
(3)
acoustic modeling
(3)
knowledge distillation
(3)
articulatory feature
(3)
data augmentation
(2)
transfer learning
(2)
feature normalization
(2)
feature extraction
(2)
multilingual training
(2)
deep neural network
(2)
hidden markov model
(1)
connectionist temporal classification
(1)
parameter sharing
(1)
speech recognition
(1)
model adaptation
(1)
bidirectional lstm
(1)
text-to-speech synthesis
(1)
gaussian mixture model
(1)
language modeling
(1)
Papers
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS
Interspeech 2020
Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition
Interspeech 2019
Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition
Interspeech 2018
Generalized Distillation Framework for Speaker Normalization
Interspeech 2017
Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages
Interspeech 2017
On Improving Acoustic Models for TORGO Dysarthric Speech Database
Interspeech 2017
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages
Interspeech 2017
Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition
Interspeech 2016
DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data
Interspeech 2016
Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages
Interspeech 2016