Automatic speech recognition has since long been seen as an ideal method for innovation in diagnosis reporting. Speech technology now seems on the verge of introducing (commercially) attractive systems. The selection of a good speech recogniser is only one consideration in system design. Interface aspects, error handling, reporting method and implementation in the daily working routine are interwoven with the selection of an appropriate speech recognition technique, and should therefore be determined first
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that facili...
Speech is most natural way of interaction for human. It has broad applications in the human-machine ...
A b s t r a c t The current generation of continuous speech recognition systems claims to offer high...
Automatic speech recognition has since long been seen as an ideal method for innovation in diagnosis...
Automatic speech recognition has since long been seen as an ideal method for innovation in diagnosis...
Radiological reporting has already been identified as a field in which voice technologies can prove ...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
Medical specialists are interested in applying Automatic Speech Recognition to save time and money s...
Abstract — In today's world, speech recognition has become very popular and important. Over the...
International audienceAutomatic Speech Recognition systems use signal processing and machine learnin...
Speech recognition (SR) in healthcare has the potential to improve clinical documentation and commun...
This is the paper that provides brief research on the automatic speech recognition technology and ...
This report serves to provide insights into the details and knowledge of the speech recognition s...
The primary objective of the present study is to develop a method, which is about the capturing of m...
Background To undertake a systematic review of existing literature relating to speech recognition te...
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that facili...
Speech is most natural way of interaction for human. It has broad applications in the human-machine ...
A b s t r a c t The current generation of continuous speech recognition systems claims to offer high...
Automatic speech recognition has since long been seen as an ideal method for innovation in diagnosis...
Automatic speech recognition has since long been seen as an ideal method for innovation in diagnosis...
Radiological reporting has already been identified as a field in which voice technologies can prove ...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
Medical specialists are interested in applying Automatic Speech Recognition to save time and money s...
Abstract — In today's world, speech recognition has become very popular and important. Over the...
International audienceAutomatic Speech Recognition systems use signal processing and machine learnin...
Speech recognition (SR) in healthcare has the potential to improve clinical documentation and commun...
This is the paper that provides brief research on the automatic speech recognition technology and ...
This report serves to provide insights into the details and knowledge of the speech recognition s...
The primary objective of the present study is to develop a method, which is about the capturing of m...
Background To undertake a systematic review of existing literature relating to speech recognition te...
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that facili...
Speech is most natural way of interaction for human. It has broad applications in the human-machine ...
A b s t r a c t The current generation of continuous speech recognition systems claims to offer high...