research
∙
05/24/2023
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models
With the rapid increase in the size of neural networks, model compressio...
share
research
∙
03/15/2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
Continued improvements in machine learning techniques offer exciting new...
research
∙
04/13/2022
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes
In this paper, we propose a dynamic cascaded encoder Automatic Speech Re...
research
∙
04/08/2022
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
Personalization of on-device speech recognition (ASR) has seen explosive...
research
∙
03/29/2022
4-bit Conformer with Native Quantization Aware Training for Speech Recognition
Reducing the latency and model size has always been a significant resear...
research
∙
10/09/2021
Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
This work presents a lifelong learning approach to train a multilingual ...
research
∙
08/13/2020
Textual Echo Cancellation
In this paper, we propose Textual Echo Cancellation (TEC) - a framework ...
research
∙
05/07/2020
AutoSpeech: Neural Architecture Search for Speaker Recognition
Speaker recognition systems based on Convolutional Neural Networks (CNNs...
research
∙
08/12/2019
Personal VAD: Speaker-Conditioned Voice Activity Detection
In this paper, we propose "personal VAD", a system to detect the voice a...
research
∙
08/03/2019