research
∙
09/18/2023
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Large self-supervised pre-trained speech models require computationally ...
share
research
∙
05/20/2023
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware s...
research
∙
05/02/2023
Contrastive Speech Mixup for Low-resource Keyword Spotting
Most of the existing neural-based models for keyword spotting (KWS) in s...
research
∙
02/28/2023
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition
Existing self-supervised pre-trained speech models have offered an effec...
research
∙
09/14/2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Noise robustness in keyword spotting remains a challenge as many models ...
research
∙
10/16/2021
A Unified Speaker Adaptation Approach for ASR
Transformer models have been used in automatic speech recognition (ASR) ...
research
∙
05/21/2020
Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning
In this work, we study leveraging extra text data to improve low-resourc...
research
∙
11/25/2019
Independent language modeling architecture for end-to-end ASR
The attention-based end-to-end (E2E) automatic speech recognition (ASR) ...
research
∙
04/08/2019
