Miscommunication phenomena such as repair in dialogue are important indicators of the
quality of communication. Automatic detection is therefore a key step toward tools that can …

BACKGROUND Spoken dialogue systems (SDSs) are used in many applications, including
automated call centres, assistive technology, speech-driven interactive mobile applications …

Alignment of transcription to the speech finds applications in video subtitling, human–
computer interaction by means of natural language communication, etc. In spite of many …

Recognition errors are common in human communication. Similar errors often lead to
unwanted behaviour in dialogue systems or virtual assistants. In human communication, we …

Statistical methods for Spoken Dialogue Systems have been shown to reduce the cost of
development, while successfully handling a variety of applications. However, such systems …

The SpeDial consortium is sharing two datasets that were used during the SpeDial project.
By sharing them with the community we are providing a resource to reduce the duration of …

Significant increase in neural networks accuracy may not indicate that the system is able to
understand language phenomena that we, as humans, consider to be basic features of our …

In this paper we investigate the novel use of exclusively audio to predict whether a spoken
dialogue will be successful or not, both in a subjective and in an objective manner. To …

Subtitles of audiovisual content produced in the same language as the oral discourse are
called captions. Such type of subtitles is crucial to ensure that audiovisual resources have …

Repetition detection is an important pre-processing step in application such as speech to
text alignment, voice based interactive system etc. It is very challenging to detect the …