research
∙
05/29/2023
Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning
Self-supervised learning (SSL) of speech has shown impressive results in...
share
research
∙
11/11/2022
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation
The black-box nature of end-to-end speech translation (E2E ST) systems m...
research
∙
04/01/2022
End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation
This work presents our end-to-end (E2E) automatic speech recognition (AS...
research
∙
10/11/2021
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Non-autoregressive (NAR) models simultaneously generate multiple outputs...
research
∙
07/20/2021
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models
Non-autoregressive (NAR) modeling has gained more and more attention in ...
research
∙
07/13/2021
Speech Representation Learning Combining Conformer CPC with Deep Cluster for the ZeroSpeech Challenge 2021
We present a system for the Zero Resource Speech Challenge 2021, which c...
research
∙
05/27/2020
Insertion-Based Modeling for End-to-End Automatic Speech Recognition
End-to-end (E2E) models have gained attention in the research field of a...
research
∙
04/19/2019
An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions
Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for a...
research
∙
04/19/2019
Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR
Sequence-to-sequence (S2S) modeling is becoming a popular paradigm for a...
research
∙
10/25/2018
