Modeling spoken information queries for virtual assistants: Open problems, challenges and opportunities
C Van Gysel - Proceedings of the 46th International ACM SIGIR …, 2023 - dl.acm.org
Virtual assistants are becoming increasingly important speech-driven Information Retrieval
platforms that assist users with various tasks. We discuss open problems and challenges …
platforms that assist users with various tasks. We discuss open problems and challenges …
Training large-vocabulary neural language models by private federated learning for resource-constrained devices
Federated Learning (FL) is a technique to train models on distributed edge devices with
local data samples. Differential Privacy (DP) can be applied with FL to provide a formal …
local data samples. Differential Privacy (DP) can be applied with FL to provide a formal …
Listen, know and spell: Knowledge-infused subword modeling for improving asr performance of oov named entities
Automatic speech recognition (ASR) is increasingly being used in specialized domains such
as medical ASR and news transcription. Owing to the lack of high quality annotated speech …
as medical ASR and news transcription. Owing to the lack of high quality annotated speech …
Synthetic query generation using large language models for virtual assistants
Virtual Assistants (VAs) are important Information Retrieval platforms that help users
accomplish various tasks through spoken commands. The speech recognition system …
accomplish various tasks through spoken commands. The speech recognition system …
Space-efficient representation of entity-centric query language models
Virtual assistants make use of automatic speech recognition (ASR) to help users answer
entity-centric queries. However, spoken entity recognition is a difficult problem, due to the …
entity-centric queries. However, spoken entity recognition is a difficult problem, due to the …
Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge Base
Entity correction is crucial in Automatic Speech TABLE I Recognition (ASR), since erroneous
entities seriously affect our understanding of ASR results. In this paper, in order to correct …
entities seriously affect our understanding of ASR results. In this paper, in order to correct …
Record deduplication for entity distribution modeling in ASR transcripts
Voice digital assistants must keep up with trending search queries. We rely on a speech
recognition model using contextual biasing with a rapidly updated set of entities, instead of …
recognition model using contextual biasing with a rapidly updated set of entities, instead of …