Database of omnidirectional and B-format room impulse responses

Stewart, Rebecca; Sandler, Mark

doi:10.1109/icassp.2010.5496083

Cited by 72 publications

(55 citation statements)

References 3 publications

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“…Both simulated and real measured RIRs are included in this set. Four different databases are considered to build the real room impulse response set: MARDY [52]; REVERB challenge [53]; C4DM RIR [54]; and SMARD [55]. Only recordings from the B-format microphone taken in the Great Hall are considered within the C4DM RIR database due to an artefact in the other C4DM recordings at the 125 Hz octave band.…”

Section: B Data Setsmentioning

confidence: 99%

A Single-Channel Non-Intrusive C50 Estimator Correlated With Speech Recognition Performance

Parada

Sharma

Laínez

et al. 2016

IEEE/ACM Trans. Audio Speech Lang. Process.

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Abstract-Several intrusive measures of reverberation can be computed from measured and simulated room impulse responses, over the full frequency band or for each individual mel-frequency subband. It is initially shown that full-band clarity index C50 is the most correlated measure on average with reverberant speech recognition performance. This corroborates previous findings but now for the dataset to be used in this study. We extend the previous findings to show that C50 also exhibits the highest mutual information on average. Motivated by these extended findings, a non-intrusive room acoustic (NIRA) estimation method is proposed to estimate C50 from only the reverberant speech signal. The NIRA method is a data-driven approach based on computing a number of features from the speech signal and it employs these features to train a model used to perform the estimation. The choice of features and learning techniques are explored in this work using an evaluation set which comprises approximately 100000 different reverberant signals (around 93 hours of speech) including reverberation from measured and simulated room impulse responses. The feature importance of each feature with respect to the estimation of the target C50 is analysed following two different approaches. In both cases the newly chosen set of features shows high importance for the target. The best C50 estimator provides a root mean square deviation around 3 dB on average for all reverberant test environments.

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Section: B Data Setsmentioning

confidence: 99%

A Single-Channel Non-Intrusive C50 Estimator Correlated With Speech Recognition Performance

Parada

Sharma

Laínez

et al. 2016

IEEE/ACM Trans. Audio Speech Lang. Process.

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“…For the car scenario, this was done with an artificial head and two cardioid microphones that were mounted close to the rear-view mirror. For the classroom scenario [37] impulse responses were recorded with a loudspeaker and omnidirectional microphones at two different spatial locations with a microphone distance of 0.5 m. The reverberation time RT 60 of the classroom has a value between 1.5 and 1.8 s over all frequencies. To evaluate the dereverberation capabilities of the algorithms, the energy decay curves (EDCs) [38] of the resulting overall transfer functionsH d using the measured impulse responses were calculated (for μ = 0).…”

Section: Simulation Resultsmentioning

confidence: 99%

Phase reference for the generalized multichannel Wiener filter

Grimm

Lawin-Ore

Doclo

et al. 2016

EURASIP J. Adv. Signal Process.

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The multichannel Wiener filter (MWF) is a well-established noise reduction technique for speech processing. Most commonly, the speech component in a selected reference microphone is estimated. The choice of this reference microphone influences the broadband output signal-to-noise ratio (SNR) as well as the speech distortion. Recently, a generalized formulation for the MWF (G-MWF) was proposed that uses a weighted sum of the individual transfer functions from the speaker to the microphones to form a better speech reference resulting in an improved broadband output SNR. For the MWF, the influence of the phase reference is often neglected, because it has no impact on the narrow-band output SNR. The G-MWF allows an arbitrary choice of the phase reference especially in the context of spatially distributed microphones. In this work, we demonstrate that the phase reference determines the overall transfer function and hence has an impact on both the speech distortion and the broadband output SNR. We propose two speech references that achieve a better signal-to-reverberation ratio (SRR) and an improvement in the broadband output SNR. Both proposed references are based on the phase of a delay-and-sum beamformer. Hence, the time-difference-of-arrival (TDOA) of the speech source is required to align the signals. The different techniques are compared in terms of SRR and SNR performance.

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“…1. Room labels are prefixed to indicate their attribution: BGU [11], QMUL [12], UoY [13]. Rooms prefixed IC were measured specifically for this study.…”

Section: Methodsmentioning

confidence: 99%

Roomprints for forensic audio applications

Moore

Brookes

Naylor

2013

2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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A roomprint is a quantifiable description of an acoustic environment which can be measured under controlled conditions and estimated from a monophonic recording made in that space. We here identify the properties required of a roomprint in forensic audio applications and review the observable characteristics of a room that, when extracted from recordings, could form the basis of a roomprint. Frequency-dependent reverberation time is investigated as a promising characteristic and used in a room identification experiment giving correct identification in 96% of trials.

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Database of omnidirectional and B-format room impulse responses

Cited by 72 publications

References 3 publications

A Single-Channel Non-Intrusive C50 Estimator Correlated With Speech Recognition Performance

A Single-Channel Non-Intrusive C50 Estimator Correlated With Speech Recognition Performance

Phase reference for the generalized multichannel Wiener filter

Roomprints for forensic audio applications

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