The research presented in this paper is part of an ongoing investigation into how best to incorporate speech-based input within mobile data collection applications. In our previous work [1], we evaluated the ability of a single speech recognition engine to support accurate, mobile, speech-based data input. Here, we build on our previous research to compare the achievable speaker-independent accuracy rates of a variety of speech recognition engines; we also consider the relative effectiveness of different speech recognition engine and microphone pairings in terms of their ability to support accurate text entry under realistic mobile conditions of use. Our intent is to provide some initial empirical data derived from mobile, user-based evalua...
This paper is focused on cellular phone embedded speech recog-nition. We present several methods abl...
Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking t...
This dataset contains the supporting data for the following article: Zhang, C., Jepson, K.M., Lohfi...
The research presented in this paper is part of an ongoing investigation into how best to incorporat...
Despite being nominated as a key potential interaction technique for supporting today's mobile techn...
Includes bibliographical references (leaves 67-75).Over the past 10 years there has been an exponent...
In this paper, we describe our experiences and thoughts on building speech applications on mobile de...
This paper discusses the advantages and challenges of using speech recognition on mobile devices, fo...
This paper evaluates the performance of the twelve primary systems submitted to the evaluation on sp...
This paper discusses the advantages and challenges of using speech recognition technology, on mobile...
The enthusiasm of deploying automatic speech recognition (ASR) onmobile devices is driven both by re...
We present a system which allows the user to search for information on mobile devices using spoken n...
When designing interaction techniques for mobile devices we must ensure users are able to safely nav...
Growth in the mobile phone market has been exponential. Mobile phones have become warehouses of info...
While mobile phones have found broad application in reporting health, financial, and environmental d...
This paper is focused on cellular phone embedded speech recog-nition. We present several methods abl...
Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking t...
This dataset contains the supporting data for the following article: Zhang, C., Jepson, K.M., Lohfi...
The research presented in this paper is part of an ongoing investigation into how best to incorporat...
Despite being nominated as a key potential interaction technique for supporting today's mobile techn...
Includes bibliographical references (leaves 67-75).Over the past 10 years there has been an exponent...
In this paper, we describe our experiences and thoughts on building speech applications on mobile de...
This paper discusses the advantages and challenges of using speech recognition on mobile devices, fo...
This paper evaluates the performance of the twelve primary systems submitted to the evaluation on sp...
This paper discusses the advantages and challenges of using speech recognition technology, on mobile...
The enthusiasm of deploying automatic speech recognition (ASR) onmobile devices is driven both by re...
We present a system which allows the user to search for information on mobile devices using spoken n...
When designing interaction techniques for mobile devices we must ensure users are able to safely nav...
Growth in the mobile phone market has been exponential. Mobile phones have become warehouses of info...
While mobile phones have found broad application in reporting health, financial, and environmental d...
This paper is focused on cellular phone embedded speech recog-nition. We present several methods abl...
Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking t...
This dataset contains the supporting data for the following article: Zhang, C., Jepson, K.M., Lohfi...