Add to ORKGThis paper describes a method for using intonation to reduce word error rate in a speech recognition system designed to recognise spontaneous dialogue speech. We use a form of dialogue analysis based on the theory of conversational games. Different move types under this analysis conform to different language models. Different move types are also characterised by different intonational tunes. Our overall recognition strategy is first to predict from intonation the type of game move that a test utterance represents, and then to use a bigram language model for that type of move during recognition.
In the last fifteen years, there have been major paradigm shifts in both general and applied linguis...
In this paper, we report on an e#ort to provide a general-purpose spoken language generation tool fo...
This paper presents a method for reducing the effort of transcribing user utterances to develop lang...
This paper describes a method for using intonation to reduce word error rate in a speech recognition...
This paper describes a way of using intonation and dialogue context to improve the performance of an...
dialog This paper describes a way ofusing intonation and dialog context to improve the performance o...
We look at the effect of using high level discourse knowledge in dialogue act type detection. We al...
Abstract. This article discusses speech production in dialogue from the perspective of natural langu...
to speech synthesis and recognition systems. Commercial speech synthesis systems cannot, for instanc...
In this paper, we investigate how intonation is used to confirm a word in English. This intonation ...
This paper introduces the Tilt intonational model and describes how this model can be used to automa...
In this paper a methodology and preliminary results of a machine learning experiment for correlating...
The current article discusses the problem of appropriate intonation selection in Person-Machine dial...
This paper describes a general system which maps from a phonological specification of an utterance’s...
<p><em>This article describes a novel approach to discriminating native and nonnative utterances bas...
In the last fifteen years, there have been major paradigm shifts in both general and applied linguis...
In this paper, we report on an e#ort to provide a general-purpose spoken language generation tool fo...
This paper presents a method for reducing the effort of transcribing user utterances to develop lang...
This paper describes a method for using intonation to reduce word error rate in a speech recognition...
This paper describes a way of using intonation and dialogue context to improve the performance of an...
dialog This paper describes a way ofusing intonation and dialog context to improve the performance o...
We look at the effect of using high level discourse knowledge in dialogue act type detection. We al...
Abstract. This article discusses speech production in dialogue from the perspective of natural langu...
to speech synthesis and recognition systems. Commercial speech synthesis systems cannot, for instanc...
In this paper, we investigate how intonation is used to confirm a word in English. This intonation ...
This paper introduces the Tilt intonational model and describes how this model can be used to automa...
In this paper a methodology and preliminary results of a machine learning experiment for correlating...
The current article discusses the problem of appropriate intonation selection in Person-Machine dial...
This paper describes a general system which maps from a phonological specification of an utterance’s...
<p><em>This article describes a novel approach to discriminating native and nonnative utterances bas...
In the last fifteen years, there have been major paradigm shifts in both general and applied linguis...
In this paper, we report on an e#ort to provide a general-purpose spoken language generation tool fo...
This paper presents a method for reducing the effort of transcribing user utterances to develop lang...