research
∙
09/19/2023
End-to-End Speech Recognition Contextualization with Large Language Models
In recent years, Large Language Models (LLMs) have garnered significant ...
share
research
∙
09/05/2023
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models
Automatic Speech Recognition (ASR) models need to be optimized for speci...
research
∙
07/21/2023
Prompting Large Language Models with Speech Recognition Abilities
Large language models have proven themselves highly flexible, able to so...
research
∙
05/30/2023
Towards Selection of Text-to-speech Data to Augment ASR Training
This paper presents a method for selecting appropriate synthetic speech ...
research
∙
05/21/2023
Multi-Head State Space Model for Speech Recognition
State space models (SSMs) have recently shown promising results on small...
research
∙
10/20/2022
Anchored Speech Recognition with Neural Transducers
Neural transducers have gained popularity in production ASR systems, ach...
research
∙
10/07/2021
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution
This paper improves the streaming transformer transducer for speech reco...
research
∙
04/06/2021
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios
Often, the storage and computational constraints of embeddeddevices dema...
research
∙
04/06/2021
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
As speech-enabled devices such as smartphones and smart speakers become ...
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
∙
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
∙
08/11/2016