activity
20192023
most citedTransfer Learning Approaches for Streaming End-to-End Speech Recognition System

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2023

Bilingual Streaming ASR with Grapheme units and Auxiliary Monolingual Loss

Mohammad Soleymanpour, Mahmoud Al Ismail, Fahimeh Bahmaninezhad +2

We introduce a bilingual solution to support English as secondary locale for most primary locales in hybrid automatic speech recognition (ASR) settings. Our key developments consti…

cs.SD2022

Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study

Daniel Tompkins, Kshitiz Kumar, Jian Wu

An Xception model reaches state-of-the-art (SOTA) accuracy on the ESC-50 dataset for audio event detection through knowledge transfer from ImageNet weights, pretraining on AudioSet…

eess.AS2021

Sequence-level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models

Amber Afshan, Kshitiz Kumar, Jian Wu

Scores from traditional confidence classifiers (CCs) in automatic speech recognition (ASR) systems lack universal interpretation and vary with updates to the underlying confidence…

eess.AS2020★ 7 cited

Transfer Learning Approaches for Streaming End-to-End Speech Recognition System

Vikas Joshi, Rui Zhao, Rupesh R. Mehta +2

Transfer learning (TL) is widely used in conventional hybrid automatic speech recognition (ASR) system, to transfer the knowledge from source to target language. TL can be applied…

cs.CL2019

Speaker Adaptation for End-to-End CTC Models

Ke Li, Jinyu Li, Yong Zhao +2

We propose two approaches for speaker adaptation in end-to-end (E2E) automatic speech recognition systems. One is Kullback-Leibler divergence (KLD) regularization and the other is…