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...
share
research
∙
02/21/2023
Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead
Conversational, multi-turn, text-to-SQL (CoSQL) tasks map natural langua...
research
∙
10/19/2022
N-Best Hypotheses Reranking for Text-To-SQL Systems
Text-to-SQL task maps natural language utterances to structured queries ...
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
∙
07/13/2022
Wakeword Detection under Distribution Shifts
We propose a novel approach for semi-supervised learning (SSL) designed ...
research
∙
06/11/2021
Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models
We present results from Alexa speech teams on semi-supervised learning (...
research
∙
04/24/2019
Realizing Petabyte Scale Acoustic Modeling
Large scale machine learning (ML) systems such as the Alexa automatic sp...
research
∙
04/02/2019
Lessons from Building Acoustic Models with a Million Hours of Speech
This is a report of our lessons learned building acoustic models from 1 ...
research
∙
01/05/2019
