Informed source location and DOA estimation using acoustic room impulse response parameters

Pasha, Shahab; Ritz, Christian

doi:10.1109/isspit.2015.7394316

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…Features derived from RIRs, such attenuation [54], and the clarity feature ( 50 ) [37], are also applied for the twodimensional localization of sources.…”

Section: Source Localization and Doa Estimationmentioning

confidence: 99%

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Pasha¹,

Lundgren²,

Ritz³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Given ubiquitous digital devices with recording capability, distributed microphone arrays are emerging recording tools for hands-free communications and spontaneous tele-conferencings. However, the analysis of signals recorded with diverse sampling rates, time delays, and qualities by distributed microphone arrays is not straightforward and entails important considerations. The crucial challenges include the unknown/changeable geometry of distributed arrays, asynchronous recording, sampling rate mismatch, and gain inconsistency. Researchers have recently proposed solutions to these problems for applications such as source localization and dereverberation, though there is less literature on real-time practical issues. This article reviews recent research on distributed signal processing techniques and applications. New applications benefitting from the wide coverage of distributed microphones are reviewed and their limitations are discussed. This survey does not cover partially or fully connected wireless acoustic sensor networks.

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“…Features derived from RIRs, such attenuation [54], and the clarity feature ( 50 ) [37], are also applied for the twodimensional localization of sources.…”

Section: Source Localization and Doa Estimationmentioning

confidence: 99%

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Pasha¹,

Lundgren²,

Ritz³

et al. 2020

Adv. sci. technol. eng. syst. j.

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is shown that the 50 has an inverse relationship to the microphone-source distances and for calculating 50 the clean signal is not required (in contrast to the Direct to Reverberation ratio (DRR)) [15,16]. The 50 is defined in (8). from (3) and n is the frame index.…”

Section: C50 or Clarity Measurementmentioning

confidence: 99%

“…Figure 2 shows a meeting room with two simultaneous active sources successfully detected by 50 values calculated across the room. The features explained in section II can be applied within a surface fitting method for source localisation [8] and if more than one active source (peaks of the surface) is detected and localised, multiple, simultaneous sources are assumed to be active. Source counting can be performed based on their Direction of Arrivals (DOAs) [17] however sources with identical DOAs cannot be discriminated by the proposed method of [17] and in some applications DOA estimation leads to detection of one virtual source instead of two sources at different angles [18].…”

Section: C50 or Clarity Measurementmentioning

confidence: 99%

“…Although it is shown that the 50 feature can be estimated from speech signals [16] in this research RIRs are available at each microphone location. For calculating the 50 features at each microphone position (8), the RIRs can be recorded or extracted from the reverberant speech signals [19].…”

Section: Multiple Source Localisationmentioning

confidence: 99%

“…Although these derived cues are relative rather than being absolute, it is shown that if the room geometry is known, they can be utilised to localise an active source in a 2D plane accurately (assuming there is at least five randomly distributed single microphones in the room) [8]. The advantage of ad-hoc arrays for source location estimation will be investigated more in this research and simultaneous sources with identical DOAs that cannot be discriminated by relying on DOA estimation methods [9] will be detected through pin pointing the source location on a 2D plane.…”

Section: Introduction Imentioning

confidence: 99%

See 2 more Smart Citations

Detecting multiple, simultaneous talkers through localising speech recorded by ad-hoc microphone arrays

Pasha

Ritz

Zou

2016

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

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This paper proposes a novel approach to detecting multiple, simultaneous talkers in multi-party meetings using localisation of active speech sources recorded with an ad-hoc microphone array. Cues indicating the relative distance between sources and microphones are derived from speech signals and room impulse responses recorded by each of the microphones distributed at unknown locations within a room. Multiple active sources are localised by analysing a surface formed from these cues and derived at different locations within the room. The number of localised active sources per each frame or utterance is then counted to estimate when multiple sources are active. The proposed approach does not require prior information about the number and locations of sources or microphones. Synchronisation between microphones is also not required. A meeting scenario with competing speakers is simulated and results show that simultaneously active sources can be detected with an average accuracy of 75% and the number of active sources counted accurately 65% of the time.

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A Survey on Ad Hoc Signal Processing: Applications, Challenges and State-of-the-Art Techniques

Pasha

Ritz

Lundgren

2019

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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Informed source location and DOA estimation using acoustic room impulse response parameters

Cited by 4 publications

References 13 publications

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review

Detecting multiple, simultaneous talkers through localising speech recorded by ad-hoc microphone arrays

A Survey on Ad Hoc Signal Processing: Applications, Challenges and State-of-the-Art Techniques

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