Single and multiple frame coding of LSF parameters using deep neural network and pyramid vector quantizer-Reference-Cited by-同舟云学术

Single and multiple frame coding of LSF parameters using deep neural network and pyramid vector quantizer

Published:2020-06 Issue: Volume:120 Page:1-10
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Li Yaxing,Kang Ying,Wu Hao,Guo Yu,Meng Jin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference49 articles.

1. Digital Speech: Coding for Low Bit Rate Communication Systems;Kondoz,2004

2. Quantization of LPC Parameters;Paliwal;Speech Coding Synth.,2012

3. Optimal quantization of LSP parameters;Soong;Speech Audio Process. IEEE Trans.,1993

4. An expandable error-protected 4800 bps CELP coder (US Federal Standard 4800 bps voice coder);Campbell,1989

5. Methods of improving vector-scalar quantization of LPC coefficients;Grass,1991

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-coder vector quantizer for transparent coding of wideband speech ISF parameters;International Journal of Speech Technology;2024-03

2. Production and purification of high activity β-mannanase from Streptomyces rochei and enzymatic hydrolysis of sugar palm fruit for galactomannan oligosaccharide (GMOS) production;Bioresource Technology Reports;2024-02

3. High Β-Mannanase Activity Production from Streptomyces Rochei Using Combination Optimization Tools of Ofat and Rsm and its Potential for Galactomannan Oligosaccharide from Sugar Palm Fruit;2023

4. Anti-COVID-19 drug screening: Frontier concepts and core technologies;Chinese Medicine;2020-10-28