Enhanced speaker activity detection for distributed microphones by exploitation of signal power ratio patterns

Matheja, Timo; Buck, Markus; Wolff, Tobias

doi:10.1109/icassp.2012.6288424

Cited by 3 publications

(9 citation statements)

References 7 publications

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“…The noise PSDˆ NN,m ( , k) can be estimated, e.g., by the improved minimum controlled recursive averaging approach [26]. In a system with M ≥ 2 microphones, the SPR is expressed similar to [29] for each channel m as…”

Section: Robust Speaker Activity Detectionmentioning

confidence: 99%

“…But, transient interferers like indicator noise, outside crossing cars, and speech from interfering speakers may be wrongly assigned to one speaker's activity, e.g., during interfering backseat passengers in a system with only two microphones in the front. The robustness for these and for other situations in general can be increased by applying an enhanced fullband detector SAD( ) based on the exploitation of SPR patterns as was first introduced by the authors in [29]. Therewith, the characteristics of the room acoustics shall be involved and evaluated.…”

Section: Robust Speaker Activity Detectionmentioning

confidence: 99%

“…The detection of speech activity might be missed in these subbands for the corresponding speaker. Thus, we want to avoid the decision based on a hard thresholding and propose an approach that exploits a modeling of the power ratios as was similarly proposed by the authors in [31]. The details of the specific version used in this contribution is presented in Appendix 3.…”

Section: Robust Speaker Activity Detectionmentioning

confidence: 99%

“…Therefore, we aim at obtaining high values for the characteristic small power ratios and small values for inconspicuous and not relevant high power ratios. We propose a mapping yielding the following quantity [29]:…”

Section: Power Ratio Patternsmentioning

confidence: 99%

“…We propose to update the reference pattern setχ [29]. Only if speaker activity can be assumed quite likely, the occurring pattern shall be included into the reference pattern set.…”

Section: Reference Pattern Setmentioning

confidence: 99%

See 4 more Smart Citations

A dynamic multi-channel speech enhancement system for distributed microphones in a car environment

Matheja¹,

Buck²,

Fingscheidt

2013

EURASIP J. Adv. Signal Process.

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Supporting multiple active speakers in automotive hands-free or speech dialog applications is an interesting issue not least due to comfort reasons. Therefore, a multi-channel system for enhancement of speech signals captured by distributed distant microphones in a car environment is presented. Each of the potential speakers in the car has a dedicated directional microphone close to his position that captures the corresponding speech signal. The aim of the resulting overall system is twofold: On the one hand, a combination of an arbitrary pre-defined subset of speakers' signals can be performed, e.g., to create an output signal in a hands-free telephone conference call for a far-end communication partner. On the other hand, annoying cross-talk components from interfering sound sources occurring in multiple different mixed output signals are to be eliminated, motivated by the possibility of other hands-free applications being active in parallel. The system includes several signal processing stages. A dedicated signal processing block for interfering speaker cancellation attenuates the cross-talk components of undesired speech. Further signal enhancement comprises the reduction of residual cross-talk and background noise. Subsequently, a dynamic signal combination stage merges the processed single-microphone signals to obtain appropriate mixed signals at the system output that may be passed to applications such as telephony or a speech dialog system. Based on signal power ratios between the particular microphone signals, an appropriate speaker activity detection and therewith a robust control mechanism of the whole system is presented. The proposed system may be dynamically configured and has been evaluated for a car setup with four speakers sitting in the car cabin disturbed in various noise conditions.

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Section: Robust Speaker Activity Detectionmentioning

confidence: 99%

Section: Robust Speaker Activity Detectionmentioning

confidence: 99%

Section: Robust Speaker Activity Detectionmentioning

confidence: 99%

Section: Power Ratio Patternsmentioning

confidence: 99%

“…We propose to update the reference pattern setχ [29]. Only if speaker activity can be assumed quite likely, the occurring pattern shall be included into the reference pattern set.…”

Section: Reference Pattern Setmentioning

confidence: 99%

See 3 more Smart Citations

A dynamic multi-channel speech enhancement system for distributed microphones in a car environment

Matheja¹,

Buck²,

Fingscheidt

2013

EURASIP J. Adv. Signal Process.

Self Cite

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show abstract

Signal Processing for Contactless Monitoring

Billah¹,

Ahad

Mahbub

2021

Contactless Human Activity Analysis

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Optimal rate allocation for speech enhancement using remote power‐constrained wireless microphones

Srinivasan

Pandharipande²

2014

IET signal process.

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The problem of speech enhancement is considered in an interference environment, typical to applications like handsfree voice communication and multi-party conferencing. In the proposed system, a directional microphone placed at each interference is used to estimate the power spectral density (PSD) of the interference and the quantised PSD estimate is transmitted over a wireless link to an omnidirectional primary microphone that observes the corrupted source speech signal. At the primary microphone, the received observations are fused to obtain an estimate of the PSD of the desired speech signal. The problem of minimising transmitted power is considered subject to constraints on total transmission rate and maintaining the mean-squared error in the estimated speech signal PSD below a prescribed limit, under narrowband and broadband signal models. The optimisation problem is solved by determining the optimum rate for encoding signal PSDs. The proposed strategy is analysed using sample speech and music signals.

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Enhanced speaker activity detection for distributed microphones by exploitation of signal power ratio patterns

Cited by 3 publications

References 7 publications

A dynamic multi-channel speech enhancement system for distributed microphones in a car environment

A dynamic multi-channel speech enhancement system for distributed microphones in a car environment

Signal Processing for Contactless Monitoring

Optimal rate allocation for speech enhancement using remote power‐constrained wireless microphones

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