Source Localization in Reverberant Environments: Part I -modeling
نویسندگان
چکیده
Source localization using microphone arrays has for some time been an active and challenging research area. The main obstacle in designing robust practical systems is the e ects of room reverberation. This paper, along with a companion, analyzes the in uence of reverberation. In this paper, a new statistical model is developed that explains the e ects of reverberation. The model is based on the theory of statistical room acoustics and is a generalization of the Ricean model used to model channels in digital communication. The properties of the statistical model is evaluated with both simulations using the image method, and with real data measurements. The agreements are quite good lending support to the model. The model is further validated in the companion paper where it is used to understand performance limits of source localization estimation accuracy in reverberant environments, and to understand the performance of source localization algorithms.
منابع مشابه
Reverberation-robust acoustic indoor localization
We propose an effective approach to acoustic indoor localization that works in reverberant environments. The proposed localization system has been implemented to operate in an inaudible frequency range for practical applications. In order to achieve high performance, we propose an effective acoustic source data structure with a synchronization algorithm. To evaluate the proposed system, series ...
متن کاملAcoustic source localization for design of tangible acoustic interfaces
Acoustic source localization is important to the design and implementation of intelligent environments such as computer-human interaction systems. Different methods for multiple source localization are discussed and compared in this paper. The mathematical model of the method based on SRP-PHAT is presented for multiple sources localization under reverberant conditions. The PHAT are applied to s...
متن کاملEstimating uncertainty models for speech source localization in real-world environments
This thesis develops improved solutions to the problems of audio source localization and speech source separation in real reverberant environments. For source localization, it develops a new timeand frequency-dependent weighting function for the generalized cross-correlation framework for time delay estimation. This weighting function is derived from the speech spectrogram as the result of a tr...
متن کاملSource Localization in Reverberant Environments using Sparrse Optimization
In this paper, we demonstrate that recently-developed sparse recovery algorithms can be used to improve source localization in reverberant environments. By formulating the localization problem in the frequency domain, we are able to efficiently incorporate information that exploits the reverberation instead of considering it a nuisance to be eliminated. In this formulation, localization becomes...
متن کاملAdaptive beamforming and soft missing data decoding for robust speech recognition in reverberant environments
This paper presents a novel approach to combine microphone array processing and robust speech recognition for reverberant multi-speaker environments. Spatial cues are extracted from a microphone array and automatically clustered to estimate localization masks in the time-frequency domain. The localization masks are then used to blindly design adaptive filters in order to enhance the source sign...
متن کامل