Intelligent Audio, Speech, and Music Processing Applications

Description

EURASIP Journal on Audio, Speech, and Music Processing, 2008. — 136 p.Future audio, speech, and music processing applications need innovative intelligent algorithms that allow interactive human/environmental interfaces with surrounding devices/systems in real-world settings to control, process, render, and playback/project sound signals for different platforms under a diverse range of listening environments. These intelligent audio, speech, and music processing applications create an environment that is sensitive, adaptive, and responsive to the presence of users. Three areas of research are considered in this special issue: analysis, communication, and interaction. Analysis covers both preprocessing of sound signals and extraction of information from the environment. Communication covers the transmission path/network, coding techniques, and conversion between spatial audio formats. The final area involves intelligent interaction with the audio/speech/music environment based on the users’ location, signal information, and acoustical environment. This special issue on intelligent audio, speech, and music processing (IASMP) consists of 13 papers that reflect a diverse range of disciplines in speech, audio, and music processing. These papers are grouped under analysis, communication, and interaction areas.Intelligent Audio, Speech, and Music Processing Applications Phasor Representation for Narrowband Active Noise Control Systems On a Method for Improving Impulsive Sounds Localization in Hearing Defenders Auditory Sparse Representation for Robust Speaker Recognition Based on Tensor Structure Towards an Intelligent Acoustic Front End for Automatic Speech Recognition: Built-in Speaker Normalization Using SVM as Back-End Classifier for Language Identification Frequency-Domain Adaptive Algorithm for Network Echo Cancellation in VoIP Estimation of Interchannel Time Difference in Subbands Based on Nonuniform Discrete Fourier Transform Measurement Combination for Acoustic Source Localization in a Room Environment Beamforming under Quantization Errors in Wirel Binaural Hearing Aids Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection Online Personalization of Hearing Instruments Automatic Music Boundary Detection Using Short Segmental Acoustic Similarity in a Music Piece Real-Time Perceptual Simulation of Moving Sources: Application to the Leslie Cabinet and 3D Sound Immersion