Due to faster entry speed and lower attention demand, speech recognition is widely used in the multimodal text entry system. But error recovery is a big challenge to its usability for the accuracy of speech recognition is not good enough. However, few studies focused on the question how users recovered the errors in a multimodal entry system, especially in realistic scenarios. The present study investigated the natural behavioral patterns of speech recognition error recovery both in laboratory and field conditions. And further to examine whether there was any difference between these conditions. Results indicated that the handwriting modality was more frequently adopted in both laboratory and filed conditions. Similar behavioral patterns we...
In this work, we present the results of a study analyzing the reactions of subjects on simulated err...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
This paper describes a study in which we compare human and automatic recognition of words in fluent ...
Due to faster entry speed and lower attention demand, speech recognition is widely used in the multi...
Our research addresses the problem of error correction in speech user interfaces. Previous work hypo...
Experiments were carried out to assess new users' attitudes to different versions of a speech input ...
Where speech recognition devices are used for entering data, some form of feed-back is usually provi...
Abstract: Automatic Speech Recognition (ASR) systems have improved greatly over the last three decad...
Commercial dictation systems for continues speech have recently become available. Although they gene...
In this thesis we describe the organization of speech recognition based writing processes. Writing c...
Combination of speech recognition and handwriting recognition as a text entry way has been widely us...
Error analysis involves detecting and correcting discrepancies between the 'text produced so far' (T...
This paper describes a study on error resolution strategies chosen when speech recognition errors oc...
This paper follows ten speech recognition services as they are deployed in live trials and services ...
Continuous speech recognition technology has recently matured to the point where it has become feasi...
In this work, we present the results of a study analyzing the reactions of subjects on simulated err...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
This paper describes a study in which we compare human and automatic recognition of words in fluent ...
Due to faster entry speed and lower attention demand, speech recognition is widely used in the multi...
Our research addresses the problem of error correction in speech user interfaces. Previous work hypo...
Experiments were carried out to assess new users' attitudes to different versions of a speech input ...
Where speech recognition devices are used for entering data, some form of feed-back is usually provi...
Abstract: Automatic Speech Recognition (ASR) systems have improved greatly over the last three decad...
Commercial dictation systems for continues speech have recently become available. Although they gene...
In this thesis we describe the organization of speech recognition based writing processes. Writing c...
Combination of speech recognition and handwriting recognition as a text entry way has been widely us...
Error analysis involves detecting and correcting discrepancies between the 'text produced so far' (T...
This paper describes a study on error resolution strategies chosen when speech recognition errors oc...
This paper follows ten speech recognition services as they are deployed in live trials and services ...
Continuous speech recognition technology has recently matured to the point where it has become feasi...
In this work, we present the results of a study analyzing the reactions of subjects on simulated err...
Thesis (Ph.D.)--University of Washington, 2021Considering the complexity of speech communicatio...
This paper describes a study in which we compare human and automatic recognition of words in fluent ...