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Speaker localization with moving microphone arrays
2016 24th European Signal Processing Conference (EUSIPCO), 2016Speaker localization algorithms often assume static location for all sensors. This assumption simplifies the models used, since all acoustic transfer functions are linear time invariant. In many applications this assumption is not valid. In this paper we address the localization challenge with moving microphone arrays. We propose two algorithms to find
Christine Evers +3 more
openaire +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing
This paper investigates robust speaker localization at the frame level on the basis of complex spectral mapping, which is capable of learning both the magnitude and phase of the target signal.
Shanmukha Srinivas Battula +5 more
semanticscholar +1 more source
This paper investigates robust speaker localization at the frame level on the basis of complex spectral mapping, which is capable of learning both the magnitude and phase of the target signal.
Shanmukha Srinivas Battula +5 more
semanticscholar +1 more source
Journal of the Acoustical Society of America
In the presence of room reverberation and background noise, the performance of frame-level speaker localization is severely limited. To address this challenge, this study performs multi-channel speech enhancement based on complex spectral mapping (CSM ...
Shanmukha Srinivas Battula +5 more
semanticscholar +1 more source
In the presence of room reverberation and background noise, the performance of frame-level speaker localization is severely limited. To address this challenge, this study performs multi-channel speech enhancement based on complex spectral mapping (CSM ...
Shanmukha Srinivas Battula +5 more
semanticscholar +1 more source
Interspeech, 2020
A common approach to overcoming the effect of reverberation in speaker localization is to identify the time-frequency (TF) bins in which the direct path is dominant, and then to use only these bins for estimation.
H. Beit-On, V. Tourbabin, B. Rafaely
semanticscholar +1 more source
A common approach to overcoming the effect of reverberation in speaker localization is to identify the time-frequency (TF) bins in which the direct path is dominant, and then to use only these bins for estimation.
H. Beit-On, V. Tourbabin, B. Rafaely
semanticscholar +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing
Acoustic signal processing in the circular harmonic domain (CHD) is an appealing method for speaker localization, since it inherently supports wideband acoustic sources and provides frequency invariant beampatterns.
Kunkun SongGong +4 more
semanticscholar +1 more source
Acoustic signal processing in the circular harmonic domain (CHD) is an appealing method for speaker localization, since it inherently supports wideband acoustic sources and provides frequency invariant beampatterns.
Kunkun SongGong +4 more
semanticscholar +1 more source
Visual speaker localization aided by acoustic models
Proceedings of the 17th ACM international conference on Multimedia, 2009The following paper presents a novel audio-visual approach for unsupervised speaker locationing. Using recordings from a single, low-resolution room overview camera and a single far-field microphone, a state-of-the art audio-only speaker localization system (traditionally called speaker diarization) is extended so that both acoustic and visual models ...
Friedland, Gerald +2 more
openaire +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing
This paper studies the problem of acoustic source localization in room environments. It presents an improved steered response power (SRP) approach with low-complexity and trade-off prewhitening. This method consists of two steps.
Zhiheng Wang +4 more
semanticscholar +1 more source
This paper studies the problem of acoustic source localization in room environments. It presents an improved steered response power (SRP) approach with low-complexity and trade-off prewhitening. This method consists of two steps.
Zhiheng Wang +4 more
semanticscholar +1 more source
Speaker localization in a reverberant environment
The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002., 2003The problem of speaker localization is addressed in this work. We present a novel approach for estimating the time difference of arrival (TDOA) of the speech signal to a microphone array, in a reverberant and noisy environment. By estimating acoustical transfer function (ATF) ratios, the TDOA is extracted from a relatively short impulse response.
T. Dvorkind, S. Gannot
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Speaker recognition using local models
The Journal of the Acoustical Society of America, 2003A system and method for voice recognition is disclosed. The system enrolls speakers using an enrollment voice samples and identification information. An extraction module (220) characterizes enrollment voice samples with high-dimensional feature vectors or speaker data points.
openaire +3 more sources
Locality sensitive discriminant analysis for speaker verification
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016In this paper, we apply Locality Sensitive Discriminant Analysis (LSDA) to speaker verification system for intersession variability compensation. As opposed to LDA which fails to discover the local geometrical structure of the data manifold, LSDA finds a projection which maximizes the margin between i-vectors from different speakers at each local area.
Danwei Cai +3 more
openaire +1 more source