8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Modeling Data Entry Rates for ASR and Alternative Input Methods

Roger K. Moore

University of Sheffield, UK

An often-cited advantage of automatic speech recognition (ASR) is that it is 'fast'; it is quite easy for a person to speak at several hundred words a minute, well above the rates that are possible using other modes of data entry. However, in order to conduct a fair comparison between alternative data entry methods, it is necessary to consider not the input rate per se, but the rate at which it is possible to enter information that is fully correct. This paper describes a model for predicting the relative success of alternative method of data entry in terms of the effective 'throughput' that is achievable taking into account typical input data entry rates, error rates and error correction times. Results are presented for the entry of both conventional and SMS-style text.

Full Paper

Bibliographic reference.  Moore, Roger K. (2004): "Modeling data entry rates for ASR and alternative input methods", In INTERSPEECH-2004, 2285-2288.