The amount of speech data available on-line and in institutional repositories, including recordings of lectures, “podcasts”, news broadcasts etc, has increased greatly in the past few years. Effective access to such data demands transcription. While current automatic speech recognition technology can help with this task, results of automatic transcription alone are often unsatisfactory. Recently, approaches which combine automatic speech recognition and collaborative transcription have been proposed in which geographically distributed users edit and correct automatically generated transcripts. These approaches, however, are based on traditional text-editor interfaces which provide little satisfaction to the users who perform these time-cons...
Speech recognition technology suffers from a lack of robustness which limits its usability for fully...
Iterative Improving of Transcribed Speech Recordings Exploiting Listeners' Feedback Abstract This Ph...
This paper introduces a method to produce high-quality transcrip- tions of speech data from only two...
The amount of speech data available on-line and in institutional repositories, including recordings ...
As performance gains in automatic speech recognition systems plateau, improvements to existing appli...
Games can be used to exploit the computational power of humans to perform tasks that are difficult f...
A set of user interface design techniques for computer-assisted speech transcription are presented a...
A set of user interface design techniques for computer-assisted speech transcription are presented a...
Transcribed speech is an essential resource to develop speech technologies for different languages ...
We introduce a new method for human-machine collaborative speech transcription that is significantly...
National audienceSpeech recognition technology suffers from a lack of robustness which limits its us...
Abstract: The advances in automatic speech recognition have pushed the human-computer interface rese...
Automatic Speech Recognition systems are increasingly being used in multimedia retrieval application...
This paper explains how speech recognition captioning with collaborative editing provides affordable...
Transcribing interview data is a time-consuming task that most qualitative researchers dislike. Tran...
Speech recognition technology suffers from a lack of robustness which limits its usability for fully...
Iterative Improving of Transcribed Speech Recordings Exploiting Listeners' Feedback Abstract This Ph...
This paper introduces a method to produce high-quality transcrip- tions of speech data from only two...
The amount of speech data available on-line and in institutional repositories, including recordings ...
As performance gains in automatic speech recognition systems plateau, improvements to existing appli...
Games can be used to exploit the computational power of humans to perform tasks that are difficult f...
A set of user interface design techniques for computer-assisted speech transcription are presented a...
A set of user interface design techniques for computer-assisted speech transcription are presented a...
Transcribed speech is an essential resource to develop speech technologies for different languages ...
We introduce a new method for human-machine collaborative speech transcription that is significantly...
National audienceSpeech recognition technology suffers from a lack of robustness which limits its us...
Abstract: The advances in automatic speech recognition have pushed the human-computer interface rese...
Automatic Speech Recognition systems are increasingly being used in multimedia retrieval application...
This paper explains how speech recognition captioning with collaborative editing provides affordable...
Transcribing interview data is a time-consuming task that most qualitative researchers dislike. Tran...
Speech recognition technology suffers from a lack of robustness which limits its usability for fully...
Iterative Improving of Transcribed Speech Recordings Exploiting Listeners' Feedback Abstract This Ph...
This paper introduces a method to produce high-quality transcrip- tions of speech data from only two...