IMTML, abbreviated for "Interactive Multimodal Transcription Markup Language," is a specific markup language designed for the representation and annotation of multimodal interactive transcripts. It is primarily employed in the field of spoken language processing and multimodal interaction analysis.
IMTML serves as a standardized format for encoding audio and video transcriptions, along with various forms of multimodal data, such as gestures, facial expressions, and gaze information. Its purpose lies in providing a consistent and flexible framework that enables the integration and synchronization of diverse types of data, allowing for a detailed and comprehensive representation of multimodal interactions.
This markup language employs a hierarchical structure to organize the different layers of transcription information. It supports the annotation of speakers, temporal alignment of speech segments, labeling of linguistic and paralinguistic elements, and the association of gestures and other non-verbal communication cues with speech events.
IMTML promotes interoperability and compatibility across different multimodal datasets and analysis tools, facilitating various applications and research endeavors in fields like human-computer interaction, conversation analysis, natural language processing, and more. It allows researchers and developers to represent, exchange, and process multimodal transcription data in a standardized and efficient manner.
Overall, IMTML provides a comprehensive and standardized framework for multimodal transcription annotation, enabling more effective analysis and understanding of multimodal interactions.
