Profils utilisateurs correspondant à "Siddhant Arora"
 | Siddhant AroraGraduate Student, Carnegie Mellon University Adresse e-mail validée de andrew.cmu.edu Cité 632 fois |
Espnet-slu: Advancing spoken language understanding through espnet
As Automatic Speech Processing (ASR) systems are getting better, there is an increasing
interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. …
interest of using the ASR output to do downstream Natural Language Processing (NLP) tasks. …
A survey on graph neural networks for knowledge graph completion
S Arora - arXiv preprint arXiv:2007.12374, 2020 - arxiv.org
Knowledge Graphs are increasingly becoming popular for a variety of downstream tasks like
Question Answering and Information Retrieval. However, the Knowledge Graphs are often …
Question Answering and Information Retrieval. However, the Knowledge Graphs are often …
High-dose versus low-dose prednisolone in symptomatic patients with post-COVID-19 diffuse parenchymal lung abnormalities: an open-label, randomised trial (the …
In some patients, respiratory symptoms and imaging abnormalities persist after acute coronavirus
disease 2019 (COVID-19) pneumonia [1–3]. Chest computed tomography (CT) scans …
disease 2019 (COVID-19) pneumonia [1–3]. Chest computed tomography (CT) scans …
Reproducing whisper-style training using an open-source toolkit and publicly available data
Pre-training speech models on large volumes of data has achieved remarkable success.
OpenAI Whisper is a multilingual multitask model trained on 680k hours of supervised speech …
OpenAI Whisper is a multilingual multitask model trained on 680k hours of supervised speech …
SLUE phase-2: A benchmark suite of diverse spoken language understanding tasks
Spoken language understanding (SLU) tasks have been studied for many decades in the
speech research community, but have not received as much attention as lower-level tasks like …
speech research community, but have not received as much attention as lower-level tasks like …
Explain, edit, and understand: Rethinking user study design for evaluating model explanations
In attempts to" explain" predictions of machine learning models, researchers have proposed
hundreds of techniques for attributing predictions to features that are deemed important. …
hundreds of techniques for attributing predictions to features that are deemed important. …
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 recognition that
adapts BERT for connectionist temporal classification (CTC). Our formulation relaxes the …
adapts BERT for connectionist temporal classification (CTC). Our formulation relaxes the …
OWSM v3. 1: Better and faster open whisper-style speech models based on e-branchformer
Recent studies have advocated for fully open foundation models to promote transparency
and open science. As an initial step, the Open Whisper-style Speech Model (OWSM) …
and open science. As an initial step, the Open Whisper-style Speech Model (OWSM) …
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 (SLU) is expensive
and time-consuming. Recent studies achieved promising results by using pre-trained models …
and time-consuming. Recent studies achieved promising results by using pre-trained models …
Decoder-only architecture for streaming end-to-end speech recognition
Decoder-only language models (LMs) have been successfully adopted for speech-processing
tasks including automatic speech recognition (ASR). The LMs have ample …
tasks including automatic speech recognition (ASR). The LMs have ample …