A Unified Neural-Network-Based Speaker Localization Technique  

Oleh:

Arslan, G. ; Sakarya, F. A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 4 (2000), page 997-1002.
Topik: SPEAKERS; neural - network - based; speaker localization

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Locating and tracking a speaker in real time using microphone arrays is important in many applications such as hands - free video conferencing, speech processing in large rooms, and acoustic echo cancellation. A speaker can be moving from the far field to the near field of the array, or vice versa. Many neural - network - based localization techniques exist, but they are applicable to either far - field or near - field sources, and are computationally intensive for real-time speaker localization applications because of the wide - band nature of the speech. We propose a unified neural - network - based source localization technique, which is simultaneously applicable to wide - band and narrow - band signal sources that are in the far field or near field of a microphone array. The technique exploits a multilayer perceptron feedforward neural network structure and forms the feature vectors by computing the normalized instantaneous cross - power spectrum samples between adjacent pairs of sensors. Simulation results indicate that our technique is able to locate a source with an absolute error of less than 3.5° at a signal - to - noise ratio of 20 dB and a sampling rate of 8000 Hz at each sensor.

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