TITLE

Grocery wholesaler reduces stock errors to almost zero with voice recognition system

AUTHOR(S)
Gomm, Karen
PUB. DATE
November 2004
SOURCE
Computer Weekly;11/2/2004, p12
SOURCE TYPE
Trade Publication
DOC. TYPE
Article
ABSTRACT
This article discusses the incorporation of voice recognition system by grocery wholesaler James Hall. Hall has cut costs and administration time by investing a six-figure sum in a voice technology system to help staff pick out orders. The Preston-based company which services 460 retailers including Spar stores, is using the Business Computer Projects 80-user voice-directed picking system, Accord, to help cut errors by its warehouse staff. Voice recognition technology is used to connect staff to the main warehouse management system that runs on a Progress database. Technical services director Dominic Hall said there has been a significant improvement in the accuracy of orders since the system was implemented. In the first 12 weeks picking errors fell by 90% to 0.01%. In the past four weeks errors have been almost eliminated, with only one error in 60,000 cases. The technology operates with Vocollect Talkman T2 terminals on a Symbol Technologies Spread Spectrum 24 radio frequency network.
ACCESSION #
15217227

 

Related Articles

  • Warehouses: All ears. Hoffman, William // Journal of Commerce (1542-3867);5/26/2008, Vol. 9 Issue 21, p32 

    The article focuses on the use of voice recognition software systems in the warehouse. It is stated that such systems provide a two-way system for workers to receive oral instructions from a warehouse management system. ODW Logistics vice president of operations Jon Pettigrew relates that the...

  • What Ever Happened To Voice? Lowenstein, Mark // Wireless Week;6/15/2003, Vol. 9 Issue 13, p45 

    Focuses on voice portals and applications using voice navigation. Technology improvements in voice recognition and TTS; Promising concept for voice application; Feature deployed in standard application platforms; Example of how session management could help improve the user experience.

  • Acoustic quality normalization for robust automatic speech recognition. Muhammad, Ghulam // International Journal of Speech Technology;Dec2007, Vol. 10 Issue 4, p175 

    Automatic speech recognition (ASR) system suffers from the variation of acoustic quality in an input speech. Speech may be produced in noisy environments and different speakers have their own way of speaking style. Variations can be observed even in the same utterance and the same speaker in...

  • Preprocessing and Segmentation of the Speech Signal in the Frequency Domain for Speech Recognition. Kolokolov, A. S. // Automation & Remote Control;Jun2003, Vol. 64 Issue 6, p985 

    Preprocessing of the speech signal before recognition of phonemes was considered. Methods of processing the spectrum and segmenting the speech signal for stable speech recognition in the presence of frequency distortions were proposed. They are based on a procedure of linear filtering of the...

  • DEVELOPMENT OF ISOLATED WORDS SPEECH DATABASE OF MARATHI WORDS FOR AGRICULTURE PURPOSE. Shrishrimal, P. P.; Deshmukh, R. R.; Waghmare, Vishal B. // Asian Journal of Computer Science & Information Technology;Jul2012, Vol. 2 Issue 7, p217 

    Development of Speech Database is the very first step for developing an Automatic Speech Recognition system. The Accuracy of speech recognition depends on the quality of the speech data collected and the training set data quality. This paper describes the proposed procedure to be followed for...

  • Look Who's Talking Now. Stone, Brad // Newsweek;2/22/1999, Vol. 133 Issue 8, p48 

    Discusses speech technology or voice recognition systems. Why people stop using speech technology with computers; The financial services industry using speech systems to make itself available anytime; How the travel industry uses speech technology; Pros and cons of speech recognition...

  • You Talkin' To Me? Owsen, Dwight M.; Schneider, Kent N. // California CPA;May2005, Vol. 73 Issue 9, Special Section p8 

    Presents information on voice recognition software. Programs offered by Dragon NaturallySpeaking; Affordability of the technology; Keys to using voice recognition software.

  • Hierarchical K-Means Algorithm Applied On Isolated Malay Digit Speech Recognition. Majeed, S. A.; Husain, H.; Samad, S. A.; Hussain, A. // International Proceedings of Computer Science & Information Tech;2012, Vol. 34, p33 

    In recent years, there has been an increasing interest in speech recognition in terms of accuracy. In this paper, the implementation of a speech recognition system in a speaker-independent isolated Malay digit was discussed. The system is developed applying Hierarchical K-means clustering...

  • Voice recognition: Don't you recognize my voice? Phillips, C. Douglas // Applied Radiology;May2005, Vol. 34 Issue 5, p6 

    Comments on the voice recognition technology. Disadvantages of medical transcription; Characteristics of transcriptionists; Forecast on the function of computers.

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics