Sept. 24, 2022, 3:38 a.m. | Khushboo Gupta

MarkTechPost www.marktechpost.com

Voice-to-text processing has advanced significantly in recent years, making the occasional failures in AI-powered speech recognition systems little more than curious outliers. However, most modern speech recognition models depend on sizable supervised training data. Obtaining such statistics is simple for popular languages like English, Chinese, etc. However, it is difficult for the bulk of the […]


The post A new Speech Recognition Pipeline from CMU Research can recognize almost 2000 Languages without Audio appeared first on MarkTechPost.

ai paper summary ai shorts applications artificial intelligence audio carnegie mellon university country editors pick machine learning pipeline research speech speech recognition staff tech news technology university research usa

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Vice President, Data Science, Marketplace

@ Xometry | North Bethesda, Maryland, Lexington, KY, Remote

Field Solutions Developer IV, Generative AI, Google Cloud

@ Google | Toronto, ON, Canada; Atlanta, GA, USA