A Discriminative Entity-Aware Language Model for Virtual Assistants

06/21/2021
by   Mandana Saebi, et al.
0

High-quality automatic speech recognition (ASR) is essential for virtual assistants (VAs) to work well. However, ASR often performs poorly on VA requests containing named entities. In this work, we start from the observation that many ASR errors on named entities are inconsistent with real-world knowledge. We extend previous discriminative n-gram language modeling approaches to incorporate real-world knowledge from a Knowledge Graph (KG), using features that capture entity type-entity and entity-entity relationships. We apply our model through an efficient lattice rescoring process, achieving relative sentence error rate reductions of more than 25 test sets covering less popular entities, with minimal degradation on a uniformly sampled VA test set.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/22/2023

CopyNE: Better Contextual ASR by Copying Named Entities

Recent years have seen remarkable progress in automatic speech recogniti...
research
06/09/2023

Record Deduplication for Entity Distribution Modeling in ASR Transcripts

Voice digital assistants must keep up with trending search queries. We r...
research
06/29/2022

Space-Efficient Representation of Entity-centric Query Language Models

Virtual assistants make use of automatic speech recognition (ASR) to hel...
research
07/13/2023

Personalization for BERT-based Discriminative Speech Recognition Rescoring

Recognition of personalized content remains a challenge in end-to-end sp...
research
03/12/2018

Entity-Aware Language Model as an Unsupervised Reranker

In language modeling, it is difficult to incorporate entity relationship...
research
10/23/2020

Enriching Under-Represented Named-Entities To Improve Speech Recognition Performance

Automatic speech recognition (ASR) for under-represented named-entity (U...
research
05/26/2020

Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants

We focus on improving the effectiveness of a Virtual Assistant (VA) in r...

Please sign up or login with your details

Forgot password? Click here to reset