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Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world...
In the present study, we applied the Particle Swarming Optimization (PSO) procedure to parametrize two Local Maxima (LM) algorithms and a pattern recognition model based on raster and point-cloud data...
Laser infrared Detection and Ranging (LiDAR) has become one competitive remote sensing (RS) and photogrammetry technique. Extracting rivers’ distribution from LiDAR’s point cloud is one of its importa...
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
Three dimensional object extraction and recognition (OER) from LIDAR data has been an area of major interest in photogrammetry for quite a long time. However, most of the existing methods for automa...
Hierarchical Temporal Memory (HTM) is still largely unknown by the pattern recognition community and only a few studies have been published in the scientific literature. This paper reviews HTM archite...
Building indoors reconstruction is an active research topic due to the importance of the wide range of applications to which they can be subjected, from architecture and furniture design, to movies an...
Performance degradation has been observed in presence of time intervals in practical speaker recognition systems. Researchers usually resort to enrollment data augmentation, speaker model adaptation...
For GMM-UBM based text-independent speaker recognition, the performance decreases significantly when the test speech is too short. Considering that the use of text information is he...
LiDAR is capable of obtaining three dimension coordinates of the terrain and targets directly and is widely applied in digital city, emergent disaster mitigation and environment monitoring. Especially...
In Short Utterance Speaker Recognition (SUSR), the role of complete speech units like syllables in carrying speaker information needs further investigation. This paper presents ...
This paper provides an overview of automatic speaker recognition technologies, with an emphasis on front-end features for robust speaker recognition. We categorize the front-end features into ...
Performance degradation with time varying is a generally acknowledged phenomenon in speaker recognition and it is widely assumed that speaker models should be updated from time to time to mainta...
In this paper, a fast algorithm for text-dependent speaker recognition is proposed for real-time applications on embedded platforms. Considering the similarity and effectiveness, w...
Speaker segmentation is widely used in many tasks such as multi-speaker detection and speaker tracking. The segmentation performance depends on the performance of speaker verification (SV) between t...

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