Publication

Machine Learning for Multimodal Interaction IV

2008
Conference Proceedings

Abstract

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.

Official source

https://infoscience.epfl.ch/entities/publication/1c400778-e3e6-4326-a6a2-f548e241d83d

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2008
Conference Proceedings

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/1c400778-e3e6-4326-a6a2-f548e241d83d

About this result

Related concepts (32)

Multimodal interaction

Multimodal interaction provides the user with multiple modes of interacting with a system. A multimodal interface provides several distinct tools for input and output of data. Multimodal human-computer interaction refers to the "interaction with the virtual and physical environment through natural modes of communication", This implies that multimodal interaction enables a more free and natural communication, interfacing users with automated systems in both input and output.

Audio signal processing

Audio signal processing is a subfield of signal processing that is concerned with the electronic manipulation of audio signals. Audio signals are electronic representations of sound waves—longitudinal waves which travel through air, consisting of compressions and rarefactions. The energy contained in audio signals or sound level is typically measured in decibels. As audio signals may be represented in either digital or analog format, processing may occur in either domain.

Digital audio

Digital audio is a representation of sound recorded in, or converted into, digital form. In digital audio, the sound wave of the audio signal is typically encoded as numerical samples in a continuous sequence. For example, in CD audio, samples are taken 44,100 times per second, each with 16-bit sample depth. Digital audio is also the name for the entire technology of sound recording and reproduction using audio signals that have been encoded in digital form.

Related publications (4)

Machine Learning for Multimodal Interaction IV

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Towards Learning Emotion Information From Short Segments of Speech

Robust Speaker Diarization for Short Speech Recordings

Sector-Based Detection for Hands-Free Speech Enhancement in Cars