Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in response to recognition failures and subsequent requests to repeat (e.g., \I'm sorry, I didn't understand, please repeat the input."). Hyperarticula- tion usually leads to further recognition failure. The goal of the current project is to develop a protocol for testing di erent talker characteristics of voice prompts in speech recognizers with an aim towards minimizing hyperarticulated speech from users. This IPRO is equally suited to students interested in the more tech- nical aspects of acoustic phonetics and voice recognition as well as the cognitive aspects of predicting user behavior in technology-mediated environments.Deliverable
Continuous speech recognition technology has recently matured to the point where it has become feasi...
51 p.In recent years we have seen a lot of growth of speech recognition systems employed in commerci...
Current Automatic Speech Recognition (ASR) systems fail to perform nearly as good as human speech re...
Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in resp...
Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in resp...
Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in resp...
The purpose of the current study was to determine the accuracy of a current voice recognition device...
Artificial intelligence is a term used for demonstrating the intelligence exhibited by machines whil...
Distant-speech recognition represents a technology of fundamental importance for future development ...
Recent studies into the evaluation of automatic speech recognition for its quality of output in the ...
The 2010 NIST Speaker Recognition Evaluation (SRE10) included a test of Human Assisted Speaker Recog...
Hyperarticulation is a speech adaptation that consists of adopting a clearer form of speech in an at...
It is known that problems arise in long sessions of voice tape-recording for off-line data entry to...
Verbal communication is very important to us humans, but using thisperforming verbal communication t...
This work identifies the causes for unsatisfactory reliability of contemporary systems for automatic...
Continuous speech recognition technology has recently matured to the point where it has become feasi...
51 p.In recent years we have seen a lot of growth of speech recognition systems employed in commerci...
Current Automatic Speech Recognition (ASR) systems fail to perform nearly as good as human speech re...
Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in resp...
Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in resp...
Users of speech recognition technology often hyperarticulate (i.e., exaggerate) their speech in resp...
The purpose of the current study was to determine the accuracy of a current voice recognition device...
Artificial intelligence is a term used for demonstrating the intelligence exhibited by machines whil...
Distant-speech recognition represents a technology of fundamental importance for future development ...
Recent studies into the evaluation of automatic speech recognition for its quality of output in the ...
The 2010 NIST Speaker Recognition Evaluation (SRE10) included a test of Human Assisted Speaker Recog...
Hyperarticulation is a speech adaptation that consists of adopting a clearer form of speech in an at...
It is known that problems arise in long sessions of voice tape-recording for off-line data entry to...
Verbal communication is very important to us humans, but using thisperforming verbal communication t...
This work identifies the causes for unsatisfactory reliability of contemporary systems for automatic...
Continuous speech recognition technology has recently matured to the point where it has become feasi...
51 p.In recent years we have seen a lot of growth of speech recognition systems employed in commerci...
Current Automatic Speech Recognition (ASR) systems fail to perform nearly as good as human speech re...