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  • Sampo Vesa
  • 2009
A method for learning the distance of a sound source in a room is presented. The proposed method is based on short-time magnitude-squared coherence between the two channels of a binaural signal. Based on white noise as the training data, a coherence profile is obtained at each desired position in the room. These profiles can then be used to identify the(More)
An estimate of the reverberation time (RT) at the space of usage can be useful in many communications applications, such as augmented reality audio and intelligent hearing aid devices. This paper presents a method to measure the reverberation time from two microphone signals. The analysis is based on locating suitable sound segments for RT analysis by using(More)
The concept of augmented reality audio characterizes techniques where real sound environment is extended with virtual auditory environments and communications scenarios. This article introduces a framework for Wearable Augmented Reality Audio (WARA) based on a specic headset conguration and a real-time audio software system. We will review relevant(More)
  • Sampo Vesa
  • 2007
A learning approach for estimating sound source distance based on binaural signals is presented. The frequency-dependent coherence between the left and right ear signals is used as the distance cue. The distance estimation is based on pre-calculated coherence profiles and an energy-weighted likelihood function. The system is evaluated with different speech(More)
In this paper, a novel method for analysis of binaural room impulse responses is presented. Individual reflections are localized in time and frequency from a measured binaural room impulse response based on the continuous cross-wavelet transform (XWT). The directions of the reflections are then analyzed based on KE-MAR and CIPIC reference data lookup, and(More)
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