𝔖 Bobbio Scriptorium

✦ LIBER ✦

KLT-based adaptive entropy-constrained vector quantization for the speech signals

✍ Scribed by Moo Young Kim

Book ID: 117910776
Publisher: IEEE
Year: 2009
Tongue: English
Weight: 822 KB
Volume: 55
Category: Article
ISSN: 0098-3063
DOI: 10.1109/tce.2009.5373806

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

KLT-based adaptive entropy-constrained q

KLT-based adaptive entropy-constrained quantization with universal arithmetic coding

✍ Yoonjoo Lee; Moo Young Kim 📂 Article 📅 2010 🏛 IEEE 🌐 English ⚖ 591 KB

KLT-based adaptive classified VQ of the

KLT-based adaptive classified VQ of the speech signal

✍ Moo Young Kim; Kleijn, W.B. 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 369 KB

[IEEE International Conference on Acoust

[IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'03) - Hong Kong, China (6-10 April 2003)] 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). - Vector quantization techniques for GMM based speaker verification

✍ Singh, G.; Panda, A.; Bhattacharyya, S.; Srikanthan, T. 📂 Article 📅 2003 🏛 IEEE 🌐 English ⚖ 244 KB

[IEEE 2010 IEEE International Conference

[IEEE 2010 IEEE International Conference on Acoustics, Speech and Signal Processing - Dallas, TX, USA (2010.03.14-2010.03.19)] 2010 IEEE International Conference on Acoustics, Speech and Signal Processing - Knowledge-aided reduced-rank STAP for MIMO radar based on joint iterative constrained optimization of adaptive filters with multiple constraints

✍ Fa, Rui; de Lamare, Rodrigo C. 📂 Article 📅 2010 🏛 IEEE ⚖ 178 KB

[IEEE 1998 IEEE International Conference

[IEEE 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing - Seattle, WA, USA (12-15 May 1998)] Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) - Kurtosis-based criteria for adaptive blind source separation

✍ Papadias, C.B. 📂 Article 📅 1998 🏛 IEEE ⚖ 398 KB