Speaker recognition with a MLP classifier and LPCC codebook

Autor:	Rodriguez-Porcheron, Daniel, Faundez-Zanuy, Marcos
Rok vydání:	2022
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Zdroj:	1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999, pp. 1005-1008 vol.2
Druh dokumentu:	Working Paper
DOI:	10.1109/ICASSP.1999.759872
Popis:	This paper improves the speaker recognition rates of a MLP classifier and LPCC codebook alone, using a linear combination between both methods. In simulations we have obtained an improvement of 4.7% over a LPCC codebook of 32 vectors and 1.5% for a codebook of 128 vectors (error rate drops from 3.68% to 2.1%). Also we propose an efficient algorithm that reduces the computational complexity of the LPCC-VQ system by a factor of 4. Comment: 4 pages, published in 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) Phoenix, AZ, USA
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2203.11614 Zobrazit plný text záznamu View this record from Arxiv