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...

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...

In this paper we present a focused audio crawler that mines audio weblogs (MP3 blogs). This source of semi-structured information contains links to audio files, plus some textual information that is referring to the media file. A retrieval system —that exploits the mined data— fetches relevant audio files related to user’s text query. Based on these results, the user can navigate and discover n...

nonlinear model and its inverse of an audio system alessandro loriga Alessandro Loriga: Modello nonlineare di un sistema audio e suo inverso: Non-linear model and its inverse of an audio system, Corso di Laurea Magistrale in Informatica,

An audio-visual speaker identification system is described, where the audio and visual speech modalities are fused by an automatic unsupervised process that adapts to local classifier performance, by taking into account the output score based reliability estimates of both modalities. Previously reported methods do not consider that both the audio and the visual modalities can be degraded. The v...

Multimedia event detection (MED) on user-generated content is the task of finding an event, e.g., a Flash mob or Attempting a bike trick, using its content characteristics. Recent research has focused on approaches that use semantically defined “concepts” trained with annotated audio clips. Using audio concepts allows us to show semantic evidence of their relationship to events, by looking at t...

Multicast based audio/video collaboration system is one of representative applications in next generation internet. Adopting multicast technique could save bandwidth for multipoint-to-multipoint audio/video communication. Lack of ubiquitous native multicast limits the application, and current multicast based A/V collaboration systems lack effective control mechanism. This paper introduces one c...

In this paper, a Blind Source Separation (BSS) algorithm for multichannel audio contents is proposed. Unlike common BSS algorithms targeting stereo audio contents or microphone array signals, our technique is targeted at multichannel audio such as 5.1 and 7.1ch audio. Since most multichannel audio object sources are panned using the Inter-channel Loudness Difference (ILD), we employ the ILVS (I...