Spherical microphone arrays have been widely studied for acoustic scene analysis and beamforming. Spatial sound field analysis typically requires two distinct steps: A calibration stage equalizes spatio-temporal deviations of the microphones. Then a decoupling stage extracts orthogonal spatial components of the wave field. For spherical microphone arrays, the decomposition of the measured sound...

This paper describes the speech recognition (STT) part of the Interactive Systems Lab’s 2004 Meeting transcription system, for the IPM (Individual Personal Microphone), SDM (Single Distant Microphone), and MDM (Multiple Distant Microphone) conditions; which was evaluated in NIST’s RT-04S “Meeting” evaluation. We compare the performance of our Broadcast News and the most recent Switchboard syste...

A class of methods based on multichannel linear prediction (MCLP) can achieve effective blind dereverberation of a source, when the source is observed with a microphone array. We propose an inventive use of MCLP as a pre-processing step for blind source separation with a microphone array. We show theoretically that, under certain assumptions, such pre-processing reduces the original blind rever...

Enhancing speech contaminated by uncorrelated additive noise, when the degraded speech alone is available, has received much attention. In recent years many systems have used multi-microphone arrays for the task of speech enhancement and robust speech recognition. In this paper we introduce a generalized multi-microphone spectral amplitude estimation approach based on a model with non-negligibl...

The NIST speaker recognition evaluation (SRE) featured microphone data in the 2005-2010 evaluations. The preprocessing and use of this data has typically been performed with telephone bandwidth and quantization. Although this approach is viable, it ignores the richer properties of the microphone data— multiple channels, high-rate sampling, linear encoding, ambient noise properties, etc. In this...

Acoustic beamforming with a microphone array represents an adequate technology for remote acoustic surveillance, as the system has no mechanical parts and it has moderate size. However, in order to accomplish real implementation, several challenges need to be addressed, such as array geometry, microphone characteristics, and the digital beamforming algorithms. This paper presents a simulated an...

This paper describes an interactive gestural microphone for vocal performance named Voicon. Voicon is a non-invasive and gesture-sensitive microphone which allows vocal performers to use natural gestures to create vocal augmentations and modifications by using embedded sensors in a microphone. Through vocal augmentation and modulation, the performers can easily generate desired amount of the vi...

A new method to assess noise reduction algorithms with respect to their ability to enhance the perceived quality of speech is presented. Such algorithms consist of both single-microphone systems and multiple microphone systems. Tests of the presented method show a higher correlation with subjective assessments than any other objective system known by the authors. It is believed that this method...

The theoretic foundation of traditional microphone array postfilters is the signal model in which the noise between sensors is assumed to be uncorrelated. However, this model is inaccurate in real environments since the correlated noise exists. In this paper, a more generalized signal model which considers both the correlated and uncorrelated noise is introduced. A general expression of the mic...

This paper proposes the addition of a weighted median Fisher discriminator (WMFD) projection prior to length-normalised Gaussian probabilistic linear discriminant analysis (GPLDA) modelling in order to compensate the additional session variation. In limited microphone data conditions, a linear-weighted approach is introduced to increase the influence of microphone speech dataset. The linear-wei...