Speech Acquisition in Meetings with an Audio-Visual Sensor Array
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We present a probabilistic methodology for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and audio information via importance particle filters (I-PFs), allowing for ...
Widrow's interference canceller adapted by the normalized LMS (NLMS) is a standard approach for separating signals from multiple speakers, for example from the driver (target) and the codriver (interference) in a car. In practice, the adaptation must be ca ...
Microphone arrays are useful in meeting rooms, where speech needs to be acquired and segmented. For example, automatic speech segmentation allows enhanced browsing experience, and facilitates automatic analysis of large amounts of data. Spontaneous multi-p ...
Microphone arrays are useful in meeting rooms, where speech needs to be acquired and segmented. For example, automatic speech segmentation allows enhanced browsing experience, and facilitates automatic analysis of large amounts of data. Spontaneous multi-p ...
Speaker turn detection is an important task for many speech processing applications. However, accurate segmentation can be hard to achieve if there are multiple concurrent speakers (overlap), as is typically the case in multi-party conversations. In such c ...
Speaker turn detection is an important task for many speech processing applications. However, accurate segmentation can be hard to achieve if there are multiple concurrent speakers (overlap), as is typically the case in multi-party conversations. In such c ...
The Laboratoire d’Electronique Industrielle has realized an active noise controller. The system is designed to efficiently attenuate low frequency transformer noise where passive methods are either ineffective or tend to be very expensive. This paper descr ...
This paper investigates the use of microphone arrays to acquire and recognise speech in meetings. Meetings pose several interesting problems for speech processing, as they consist of multiple competing speakers within a small space, typically around a tabl ...
Accurate detection and segmentation of spontaneous multi-party speech is crucial for a variety of applications, including speech acquisition and recognition, as well as higher-level event recognition. However, the highly sporadic nature of spontaneous spee ...
This report describes the processing algorithms and gives an overview of the hardware for the small microphone array unit in the IM2.RTMAP (Real-time Microphone Array Processing) project. The algorithms include techniques for speech enhancement, speaker lo ...
