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07/11/2023
Improving RNN-Transducers with Acoustic LookAhead
RNN-Transducers (RNN-Ts) have gained widespread acceptance as an end-to-...
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06/10/2023
Adversarial Training For Low-Resource Disfluency Correction
Disfluencies commonly occur in conversational speech. Speech with disflu...
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05/26/2023
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction
Conversational speech often consists of deviations from the speech plan,...
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11/02/2022
Towards Zero-Shot Code-Switched Speech Recognition
In this work, we seek to build effective code-switched (CS) automatic sp...
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10/30/2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training
Training state-of-the-art ASR systems such as RNN-T often has a high ass...
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10/13/2022
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT
Domain-specific neural machine translation (NMT) systems (e.g., in educa...
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04/02/2022
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding
Online alignment in machine translation refers to the task of aligning a...
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03/31/2022
Investigating Modality Bias in Audio Visual Video Parsing
We focus on the audio-visual video parsing (AVVP) problem that involves ...
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02/21/2022
Adaptive Discounting of Implicit Language Models in RNN-Transducers
RNN-Transducer (RNN-T) models have become synonymous with streaming end-...
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02/02/2022
Error Correction in ASR using Sequence-to-Sequence Models
Post-editing in Automatic Speech Recognition (ASR) entails automatically...
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10/10/2021
Personalizing ASR with limited data using targeted subset selection
We study the task of personalizing ASR models to a target non-native spe...
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07/21/2021
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding
While recent benchmarks have spurred a lot of new work on improving the ...
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07/14/2021
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
Generating code-switched text is a problem of growing interest, especial...
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06/02/2021
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights
Automatic speech recognition (ASR) in Sanskrit is interesting, owing to ...
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04/01/2021
Multilingual and code-switching ASR challenges for low resource Indian languages
Recently, there is increasing interest in multilingual automatic speech ...
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04/01/2021
Collaborative Learning to Generate Audio-Video Jointly
There have been a number of techniques that have demonstrated the genera...
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03/09/2021
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Multimodal IR, spanning text corpus, knowledge graph and images, called ...
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03/04/2021
Error-driven Fixed-Budget ASR Personalization for Accented Speakers
We consider the task of personalizing ASR models while being constrained...
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02/11/2021
An Investigation of End-to-End Models for Robust Speech Recognition
End-to-end models for robust automatic speech recognition (ASR) have not...
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01/25/2021
Meta-Learning for Effective Multi-task and Multilingual Modelling
Natural language processing (NLP) tasks (e.g. question-answering in Engl...
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10/19/2020
Reduce and Reconstruct: Improving Low-resource End-to-end ASR Via Reconstruction Using Reduced Vocabularies
End-to-end automatic speech recognition (ASR) systems are increasingly b...
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10/12/2020
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS
Building Automatic Speech Recognition (ASR) systems for code-switched sp...
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06/24/2020
Black-box Adaptation of ASR for Accented Speech
We introduce the problem of adapting a black-box, cloud-based ASR system...
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10/25/2019
Stem-driven Language Models for Morphologically Rich Languages
Neural language models (LMs) have shown to benefit significantly from en...
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06/22/2019
End-to-End ASR for Code-switched Hindi-English Speech
End-to-end (E2E) models have been explored for large speech corpora and ...
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06/06/2019
Cross-Lingual Training for Automatic Question Generation
Automatic question generation (QG) is a challenging problem in natural l...
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09/06/2018
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining
This work focuses on building language models (LMs) for code-switched te...
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08/23/2018
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
We analyze the performance of different sentiment classification models ...
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04/28/2018
Generalizing Across Domains via Cross-Gradient Training
We present CROSSGRAD, a method to use multi-domain training data to lear...
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12/25/2017
Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks
The problem of automatic accent identification is important for several ...
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11/03/2017
Dual Language Models for Code Mixed Speech Recognition
In this work, we present a new approach to language modeling for bilingu...
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12/13/2016