research
∙
09/30/2022
E-Branchformer: Branchformer with Enhanced merging for speech recognition
Conformer, combining convolution and self-attention sequentially to capt...
share
research
∙
12/14/2021
On the Use of External Data for Spoken Named Entity Recognition
Spoken language understanding (SLU) tasks involve mapping from speech au...
research
∙
11/19/2021
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
Progress in speech processing has been facilitated by shared datasets an...
research
∙
06/17/2021
Multi-mode Transformer Transducer with Stochastic Future Context
Automatic speech recognition (ASR) models make fewer errors when more su...
research
∙
06/11/2021
Leveraging Pre-trained Language Model for Speech Sentiment Analysis
In this paper, we explore the use of pre-trained language models to lear...
research
∙
01/24/2021
A Review of Speaker Diarization: Recent Advances with Deep Learning
Speaker diarization is a task to label audio or video recordings with cl...
research
∙
05/21/2020
Multistream CNN for Robust Acoustic Modeling
This paper presents multistream CNN, a novel neural network architecture...
research
∙
05/21/2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition
In this paper we present state-of-the-art (SOTA) performance on the Libr...
research
∙
03/05/2020
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap
In this study, we propose a new spectral clustering framework that can a...
research
∙
10/01/2019
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions
Self-attention has been a huge success for many downstream tasks in NLP,...
research
∙
12/29/2017
