research
∙
07/06/2023
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
Large self-supervised models are effective feature extractors, but their...
share
research
∙
04/21/2023
Small-footprint slimmable networks for keyword spotting
In this work, we present Slimmable Neural Networks applied to the proble...
research
∙
03/07/2023
Self-supervised speech representation learning for keyword-spotting with light-weight transformers
Self-supervised speech representation learning (S3RL) is revolutionizing...
research
∙
03/04/2023
Fixed-point quantization aware training for on-device keyword-spotting
Fixed-point (FXP) inference has proven suitable for embedded devices wit...
research
∙
07/13/2022
Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets
We propose a novel 2-stage sub 8-bit quantization aware training algorit...
research
∙
12/11/2020
DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization
Recent success in speech representation learning enables a new way to le...
research
∙
11/30/2020
Transformer-Transducers for Code-Switched Speech Recognition
We live in a world where 60 languages fluently. Members of these communi...
research
∙
06/01/2020
Streaming Language Identification using Combination of Acoustic Representations and ASR Hypotheses
This paper presents our modeling and architecture approaches for buildin...
research
∙
12/03/2019
Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition
We propose a novel approach to semi-supervised automatic speech recognit...
research
∙
02/06/2019
