Acoustic event localization using a crosspower-spectrum phase based technique

Omologo, Maurizio; Svaizer, Piergiorgio

doi:10.1109/icassp.1994.389667

Cited by 177 publications

(91 citation statements)

References 6 publications

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“…These challenges often results in estimation errors in ∆ ij and so it is not surprising that in practice the intersection of all the corresponding hyperboloids is empty! One of the most popular time delay estimation (TDE) techniques, and the method used in this work, is a generalized cross-correlation (GCC) technique that utilizes the phase transform (PHAT), first discussed in the audio localization literature by Knapp and Carter and then further analyzed by many others (Knapp & Carter, 1976;Omologo & Svaizer, 1994;1996). PHAT is very robust to noise and reverberations compared to other correlation based TDE techniques (J.…”

Section: Time-delay Estimationmentioning

confidence: 99%

Camera Pointing with Coordinate-Free Localization and Tracking

Ettinger¹,

Freund²

2011

Advances in Sound Localization

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where c is the speed of sound in the medium. ∆ ij is often called the time delay of arrival (TDOA) between microphone i and j. It is worth noting that if f is the sampling rate being used, then the largest the TDOA can be in terms of audio samples is M = m i − m j 2 f /c. In other words, ∆ ij is always in the range [−M, M] and in practice can only be estimated to the nearest sample. This observation directly reveals the fact that close together microphones cannot have as wide a range of TDOAs as microphones that are spaced further apart. Placing microphones further 318 Advances in Sound Localization

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Section: Time-delay Estimationmentioning

confidence: 99%

Camera Pointing with Coordinate-Free Localization and Tracking

Ettinger¹,

Freund²

2011

Advances in Sound Localization

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“…The UPC Speaker Localization and Tracking system is based on the cross-power spectrum phase approach [10], which we showed is quite robust to the speaker head orientation [11] if using an appropriate distribution of microphone arrays. We use three T-shaped microphone arrays and Mark III, so that there is a microphone array at each wall in the room.…”

Section: Applied Analysis Technologiesmentioning

confidence: 99%

Integration of audiovisual sensors and technologies in a smart room

Neumann

Casas

Macho

et al. 2007

Pers Ubiquit Comput

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At the Technical University of Catalonia (UPC), a smart room has been equipped with 85 microphones and 8 cameras. This paper describes the setup of the sensors, gives an overview of the underlying hardware and software infrastructure and indicates possibilities for highand low-level multi-modal interaction. An example of usage of the information collected from the distributed sensor network is explained in detail: the system supports a group of students that have to solve a lab assignment related problem.

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“…In this paper, a delay and sum beam former [3] is employed to capture the target speech signal with high quality. Then the DOA is estimated by using a CSP(Cross power Spectrum Phase analysis) method [4].…”

Section: Introductionmentioning

confidence: 99%