標題: Robust speaker's location detection in a vehicle environment using GMM models
作者: Hu, Jwu-Sheng
Cheng, Chieh-Cheng
Liu, Wei-Han
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Gaussian mixture models (GMM);human-computer interaction (HCI);microphone array;sound localization
公開日期: 1-四月-2006
摘要: Human-computer interaction (HCI) using speech communication is becoming increasingly important, especially in driving where safety is the primary concern. Knowing the speaker's location (i.e., speaker localization) not only improves the enhancement results of a corrupted signal, but also provides assistance to speaker identification. Since conventional speech localization algorithms suffer from the uncertainties of environmental complexity and noise, as well as from the microphone mismatch problem, they are frequently not robust in practice. Without a high reliability, the acceptance of speech-based HCI would never be realized. This work presents a novel speaker's location detection method and demonstrates high accuracy within a vehicle cabinet using a single linear microphone array. The proposed approach utilize Gaussian mixture models (GMM) to model the distributions of the phase differences among the microphones caused by the complex characteristic of room acoustic and microphone mismatch. The model can be applied both in near-field and far-field situations in a noisy environment. The individual Gaussian component of a GMM represents some general location-dependent but content and speaker-independent phase difference distributions. Moreover, the scheme performs well not only in nonline-of-sight cases, but also when the speakers are aligned toward the microphone array but at difference distances from it. This strong performance can be achieved by exploiting the fact that the phase difference distributions at different locations are distinguishable in the environment of a. car. The experimental results also show that the proposed method outperforms the conventional multiple signal classification method (MUSIC) technique at various SNRs.
URI: http://dx.doi.org/10.1109/TSMCB.2005.859084
http://hdl.handle.net/11536/12420
ISSN: 1083-4419
DOI: 10.1109/TSMCB.2005.859084
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume: 36
Issue: 2
起始頁: 403
結束頁: 412
顯示於類別:期刊論文


文件中的檔案:

  1. 000252227000013.pdf