@inproceedings{5c226285e30343bfadd751b6a7725404,
title = "Ubiquitous and robust text-independent speaker recognition for home automation digital life",
abstract = "This paper presents a ubiquitous and robust text-independent speaker recognitionarchitecture for home automation digital life. In this architecture, a multiple microphone configuration is adopted to receive the pervasive speech signals. The multi-channel speech signals are then added together with a mixer. In a ubiquitous computing environment, the received speech signal is usually heavily corrupted by background noises. An SNR-aware subspace speech enhancement approach is used as a pre-processing to enhance the mixed signal. Considering the text-independent speaker recognition, this paper applies a multi-class support vectors machine (SVM)[10][11] instead of conventional Gaussian mixture models (GMMs)[12]. In our experiments, the speaker recognition rate can averagely reach 97.2% with the proposed ubiquitous speaker recognitionarchitecture.",
author = "Wang, {Jhing Fa} and Kuan, {Ta Wen} and Wang, {Jia Chang} and Gu, {Gaung Hui}",
year = "2008",
doi = "10.1007/978-3-540-69293-5_24",
language = "???core.languages.en_GB???",
isbn = "3540692924",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "297--310",
booktitle = "Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings",
note = "5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008 ; Conference date: 23-06-2008 Through 25-06-2008",
}