This paper introduces a new approach to agentic speech recognition that uses a memory to help correct mistakes and improve accuracy. By limiting the corrections made, the system can avoid over-correcting and improve performance on challenging tasks.
Firehose
Filtered to Papers, tagged “memory-augmented models” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives