Deploying GOOG-411: Early lessons in data, measurement, and testing

Author

Bacchiani, Michiel ; Beaufays, Françoise ; Schalkwyk, Johan ; Schuster, Mike ; Strope, Brian

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

5260

Lastpage

5263

Abstract

We describe our early experience building and optimizing GOOG-411, a fully automated, voice-enabled, business finder. We show how taking an iterative approach to system development allows us to optimize the various components of the system, thereby progressively improving user-facing metrics. We show the contributions of different data sources to recognition accuracy. For business listing language models, we see a nearly linear performance increase with the logarithm of the amount of training data. To date, we have improved our correct accept rate by 25% absolute, and increased our transfer rate by 35% absolute.

Keywords

business data processing; search engines; speech recognition; GOOG-411 fully automated voice-enabled business finder; Web-based business search engine; business listing language models; iterative approach; speech-based system; Cities and towns; Condition monitoring; Iterative methods; Network servers; Pipelines; Redundancy; Speech recognition; Speech synthesis; Testing; Training data; business finder; directory assistance; speech recognition; voice search;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518846

Filename

4518846