%0 Conference Proceedings %1 Danis:1989:1071-1813:301 %A Danis, Catalina M. %D 1989 %I Computer Systems %J Human Factors and Ergonomics Society Annual Meeting Proceedings %K automatic developing speakers speech successful %P 301-304(4) %T DEVELOPING SUCCESSFUL SPEAKERS FOR AN AUTOMATIC SPEECH RECOGNITION SYSTEM %U http://www.ingentaconnect.com/content/hfes/hfproc/1989/00000033/00000005/art00014 %V 33 %X This paper reports on a study of recognition performance for a group of new users during their first month of experience with the Tangora system. Tangora is a 20,000 word, speaker dependent, isolated-word system which transcribes speech input into text in real-time. Twelve users, six males and six females, participated in 21 sessions each, during which they read aloud unrelated sentences selected from a corpus of office correspondence. Their goal was to develop a speaking style which minimized Tangoras recognition error. To this end, starting with the third session, the experimenter generated hypotheses about each users speech habits which may have resulted in high recognition error and made suggestions to the user on how to modify his/her speaking style. In addition, each user produced a new speech sample each of the four weeks of the experiment which was used to train the system to recognize the speaker. On average, recognition error decreased by 33 from the first to the fourth week. This improvement was attributable to retraining the system with, apparently, more representative speech samples. A number of speech habits brought by users to the recognition task were identified as contributing to poor recognition performance by Tangora. These included: (a) a too fast speech rate, (b) failure to pause between words, (c) hyper-correct articulation of the final phoneme in words and (d) incomplete articulation of the first phoneme in words. Feedback relating to these speech habits was used successfully by a majority of the users to modify their speaking style into one more successfully recognized by the Tangora system.

@proceedings{Danis:1989:1071-1813:301, abstract = {This paper reports on a study of recognition performance for a group of new users during their first month of experience with the Tangora system. Tangora is a 20,000 word, speaker dependent, isolated-word system which transcribes speech input into text in real-time. Twelve users, six males and six females, participated in 21 sessions each, during which they read aloud unrelated sentences selected from a corpus of office correspondence. Their goal was to develop a speaking style which minimized Tangoras recognition error. To this end, starting with the third session, the experimenter generated hypotheses about each users speech habits which may have resulted in high recognition error and made suggestions to the user on how to modify his/her speaking style. In addition, each user produced a new speech sample each of the four weeks of the experiment which was used to train the system to recognize the speaker. On average, recognition error decreased by 33 from the first to the fourth week. This improvement was attributable to retraining the system with, apparently, more representative speech samples. A number of speech habits brought by users to the recognition task were identified as contributing to poor recognition performance by Tangora. These included: (a) a too fast speech rate, (b) failure to pause between words, (c) hyper-correct articulation of the final phoneme in words and (d) incomplete articulation of the first phoneme in words. Feedback relating to these speech habits was used successfully by a majority of the users to modify their speaking style into one more successfully recognized by the Tangora system.}, added-at = {2010-03-24T21:54:52.000+0100}, author = {Danis, Catalina M.}, biburl = {https://www.bibsonomy.org/bibtex/2e233948d6334eace8764b6cba60f9515/jdubtsu}, description = {IngentaConnect DEVELOPING SUCCESSFUL SPEAKERS FOR AN AUTOMATIC SPEECH RECOGNITIO...}, interhash = {cd08aef595bbc4218f84943934149699}, intrahash = {e233948d6334eace8764b6cba60f9515}, journal = {Human Factors and Ergonomics Society Annual Meeting Proceedings}, keywords = {automatic developing speakers speech successful}, pages = {301-304(4)}, publisher = {Computer Systems}, timestamp = {2010-03-24T21:54:52.000+0100}, title = {DEVELOPING SUCCESSFUL SPEAKERS FOR AN AUTOMATIC SPEECH RECOGNITION SYSTEM}, url = {http://www.ingentaconnect.com/content/hfes/hfproc/1989/00000033/00000005/art00014}, volume = 33, year = 1989 }