Spatio-temporal analysis of spontaneous speech with microphone arrays
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Accurate detection, localization and tracking of multiple moving speakers permits a wide spectrum of applications. Techniques are required that are versatile, robust to environmental variations, and not constraining for non-technical end-users. Based on di ...
Accurate speaker location is essential for optimal performance of distant speech acquisition systems using microphone array techniques. However, to the best of our knowledge, no comprehensive studies on the degradation of automatic speech recognition (ASR) ...
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This paper presents our approach for automatic speech recognition (ASR) of overlapping speech. Our system consists of two principal components: a speech separation component and a feature estmation component. In the speech separation phase, we first estima ...
Distant microphones permit to process spontaneous multi-party speech with very little constraints on speakers, as opposed to close-talking microphones. Minimizing the constraints on speakers permits a large diversity of applications, including meeting summ ...
Accurate speaker location is essential for optimal performance of distant speech acquisition systems using microphone array techniques. However, to the best of our knowledge, no comprehensive studies on the degradation of automatic speech recognition (ASR) ...
This paper presents an effective implementation of detection-localization of multiple speech sources with microphone arrays. In particular, the Scaled Conjugate Gradient descent is used for fast and precise localization, within a pre-detected volume of spa ...