research
∙
12/02/2022
Continual Learning for On-Device Speech Recognition using Disentangled Conformers
Automatic speech recognition research focuses on training and evaluating...
share
research
∙
10/16/2022
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning
We present the SUPERB challenge at SLT 2022, which aims at learning self...
research
∙
10/28/2021
TorchAudio: Building Blocks for Audio and Speech Processing
This document describes version 0.10 of torchaudio: building blocks for ...
research
∙
04/05/2021
Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency
We propose a dynamic encoder transducer (DET) for on-device speech recog...
research
∙
04/05/2021
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
Word Error Rate (WER) has been the predominant metric used to evaluate t...
research
∙
11/09/2020
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR
In this work, to measure the accuracy and efficiency for a latency-contr...
research
∙
11/05/2020
Alignment Restricted Streaming Recurrent Neural Network Transducer
There is a growing interest in the speech community in developing Recurr...
research
∙
11/03/2020
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition
Attention-based models have been gaining popularity recently for their s...
research
∙
10/27/2020
Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications
In this paper, we summarize the application of transformer and its strea...
research
∙
10/21/2020
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition
This paper proposes an efficient memory transformer Emformer for low lat...
research
∙
05/18/2020
Weak-Attention Suppression For Transformer Based Speech Recognition
Transformers, originally proposed for natural language processing (NLP) ...
research
∙
05/16/2020
Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory
Transformer-based acoustic modeling has achieved great suc-cess for both...
research
∙
11/27/2019
AIPNet: Generative Adversarial Pre-training of Accent-invariant Networks for End-to-end Speech Recognition
As one of the major sources in speech variability, accents have posed a ...
research
∙
11/05/2019
RNN-T For Latency Controlled ASR With Improved Beam Search
Neural transducer-based systems such as RNN Transducers (RNN-T) for auto...
research
∙
10/28/2019
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention
We explore options to use Transformer networks in neural transducer for ...
research
∙
06/07/2018
Domain Adversarial Training for Accented Speech Recognition
In this paper, we propose a domain adversarial training (DAT) algorithm ...
research
∙
06/07/2018