Paper Info
Title
Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems
Abstract
Millions of consumers issue voice queries through television-based entertainment systems such as the Comcast X1, the Amazon Fire TV, and Roku TV. Automatic speech recognition (ASR) systems are responsible for transcribing these voice queries into text to feed downstream natural language understanding modules. However, ASR is far from perfect, often producing incorrect transcriptions and forcing users to take corrective action. To better understand their impact on sessions, this paper characterizes speech recognition errors as well as subsequent user responses. We provide both quantitative and qualitative analyses, examining the acoustic as well as lexical attributes of the utterances. This work represents, to our knowledge, the first analysis of speech recognition errors from real users on a widely-deployed entertainment system.
Year
DOI
Venue
2019
10.1145/3331184.3331271
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Keywords
Field
DocType
error characterization, intelligent agents, voice search
Computer science,Entertainment,Speech recognition
Conference
ISBN
Citations 
PageRank 
978-1-4503-6172-9
1
0.36
References 
Authors
0
3
Name
Order
Citations
PageRank
Raphael Tang1136.71
Ferhan Türe21029.45
Jimmy Lin34800376.93