Siddhant Arora | DeepAI

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∙ 09/19/2023

Semi-Autoregressive Streaming ASR With Label Context

Non-autoregressive (NAR) modeling has gained significant interest in spe...

0 Siddhant Arora, et al. ∙

∙ 09/18/2023

Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech

Text language models have shown remarkable zero-shot capability in gener...

0 Chien-yu Huang, et al. ∙

∙ 09/16/2023

Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation

Collecting audio-text pairs is expensive; however, it is much easier to ...

0 Emiru Tsunoo, et al. ∙

∙ 07/24/2023

Integration of Frame- and Label-synchronous Beam Search for Streaming Encoder-decoder Speech Recognition

Although frame-based models, such as CTC and transducers, have an affini...

0 Emiru Tsunoo, et al. ∙

∙ 07/20/2023

Integrating Pretrained ASR and LM to Perform Sequence Generation for Spoken Language Understanding

There has been an increased interest in the integration of pretrained sp...

0 Siddhant Arora, et al. ∙

∙ 07/17/2023

BASS: Block-wise Adaptation for Speech Summarization

End-to-end speech summarization has been shown to improve performance ov...

0 Roshan Sharma, et al. ∙

∙ 05/18/2023

A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks

Conformer, a convolution-augmented Transformer variant, has become the d...

0 Yifan Peng, et al. ∙

∙ 05/02/2023

A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge

Recently there have been efforts to introduce new benchmark tasks for sp...

0 Siddhant Arora, et al. ∙

∙ 05/02/2023

The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge

This paper describes our system for the low-resource domain adaptation t...

0 Hayato Futami, et al. ∙

∙ 05/01/2023

Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History

Most human interactions occur in the form of spoken conversations where ...

0 Siddhant Arora, et al. ∙

∙ 12/20/2022

SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks

Spoken language understanding (SLU) tasks have been studied for many dec...

0 Suwon Shon, et al. ∙

∙ 11/16/2022

Streaming Joint Speech Recognition and Disfluency Detection

Disfluency detection has mainly been solved in a pipeline approach, as p...

0 Hayato Futami, et al. ∙

∙ 11/10/2022

A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding

Collecting sufficient labeled data for spoken language understanding (SL...

0 Yifan Peng, et al. ∙

∙ 10/29/2022

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model

This paper presents BERT-CTC, a novel formulation of end-to-end speech r...

0 Yosuke Higuchi, et al. ∙

∙ 10/27/2022

Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models

End-to-end spoken language understanding (SLU) systems are gaining popul...

0 Siddhant Arora, et al. ∙

∙ 07/14/2022

Two-Pass Low Latency End-to-End Spoken Language Understanding

End-to-end (E2E) models are becoming increasingly popular for spoken lan...

0 Siddhant Arora, et al. ∙

∙ 06/28/2022

Creation and Analysis of an International Corpus of Privacy Laws

The landscape of privacy laws and regulations around the world is comple...

3 Sonu Gupta, et al. ∙

∙ 04/19/2022

Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation

Although Transformers have gained success in several speech processing t...

0 Keqi Deng, et al. ∙

∙ 12/17/2021

Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations

In attempts to "explain" predictions of machine learning models, researc...

0 Siddhant Arora, et al. ∙

∙ 11/29/2021

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

As Automatic Speech Processing (ASR) systems are getting better, there i...

0 Siddhant Arora, et al. ∙

∙ 06/29/2021

Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding

Decomposable tasks are complex and comprise of a hierarchy of sub-tasks....

0 Siddhant Arora, et al. ∙

∙ 04/30/2021

BERT Meets Relational DB: Contextual Representations of Relational Databases

In this paper, we address the problem of learning low dimension represen...

23 Siddhant Arora, et al. ∙

∙ 07/24/2020

A Survey on Graph Neural Networks for Knowledge Graph Completion

Knowledge Graphs are increasingly becoming popular for a variety of down...

0 Siddhant Arora, et al. ∙

∙ 06/03/2020

IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge

Knowledge Graphs (KGs) extracted from text sources are often noisy and l...

0 Siddhant Arora, et al. ∙

∙ 05/13/2020

On Embeddings in Relational Databases

We address the problem of learning a distributed representation of entit...

0 Siddhant Arora, et al. ∙

∙ 04/11/2019

Investigating Retrieval Method Selection with Axiomatic Features

We consider algorithm selection in the context of ad-hoc information ret...

0 Siddhant Arora, et al. ∙

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