An audio-visual localisation and tracking system for meeting scenarios is presented which draws its inspiration from neurobiological processing. Meetings are recorded by a KEMAR binaural manikin and a single camera placed directly above the manikin. Source localisation from the binaural audio and face, object and motion locations from the video frames are used as input to two linked neural osci...

We describe an audio-service for collaborative network applications, designed to support many simultaneous audio sources and to operate across the Internet. Our service introduces and exploits a new technique called distributed partial mixing to dynamically adapt to varying numbers of speakers and network congestion. A collection of networked partial audio mixers is arranged as a distributed gr...

Orthogonal information present in the video signal associated with the audio helps in improving the accuracy of a speech recognition system. Audio-visual speech recognition involves extraction of both the audio as well as visual features from the input signal. Extraction of visual parameters is done by the recognition of speech dependent features from the video sequence. This paper uses geometr...

Marsyas is an open source software framework for audio analysis, synthesis and retrieval with specific emphasis on Music Information Retrieval. It is developed by an international team of programmers and researchers led by George Tzanetakis. In MIREX 2007 we participated in the following tasks: Audio Artist Identification, Audio Classical Composer Identification, Audio Genre Classification, Aud...

An audio-visual localisation and tracking system for meeting scenarios is presented which draws its inspiration from neurobiological processing. Meetings are recorded by a KEMAR binaural manikin and a single camera placed directly above the manikin. Source localisation from the binaural audio and face, object and motion locations from the video frames are used as input to two linked neural osci...

This paper proposes a novel approach for detection of video songs sequences using audio clues from bollywood movies. Approach exploits the fact that how audio clues help us to differentiate song portion and non-song portion. The Proposed method relies on following phases: Movie segmentation, Audio Intensity Based Classifier (AIBC), Song Sequence Generator (SSG), and Audio Clues Based Classifier...

A hierarchical system for audio classiication and retrieval based on audio content analysis is presented in this paper. The system consists of three stages. The audio recordings are rst classiied and segmented into speech, music, several types of environmental sounds, and silence, based on morphological and statistical analysis of temporal curves of the energy function, the average zero-crossin...

A hierarchical system for audio classi cation and retrieval based on audio content analysis is presented in this paper. The system consists of three stages. The audio recordings are rst classi ed and segmented into speech, music, several types of environmental sounds, and silence, based on morphological and statistical analysis of temporal curves of the energy function, the average zero-crossin...

While Machine Comprehension (MC) has attracted extensive research interests in recent years, existing approaches mainly belong to the category of Reading task which mines textual inputs (paragraphs and questions) predict answers (choices or text spans). However, there are a lot MC tasks that accept audio input addition input, e.g. English listening comprehension test. In this paper, we target p...

wild plant germplasm possesses useful adaptive strategies. wild plant species, for example, are resistant to biotic and abiotic stress and can be used for reforestation, agriculture, and horticulture. we surveyed the potential of wild pear to resist flooding. we looked at survival, growth, biomass, and several physiological variables. the rootstocks of wild pear are candidates for planting in o...