期刊文献+

一种高性能固定语音识别并行处理架构 被引量:1

High-performance parallel architecture for specific speech recognition
下载PDF
导出
摘要 针对固定语音识别系统后端大量的模板匹配识别运算,提出了一种多处理单元并行超标量匹配处理架构,有效地提升了大容量模板库条件下实时处理性能。将所提出的并行匹配处理架构在Virtex-6 FPGA上进行了实现,其结果显示,在保证识别精度的情况下,处理能力得到显著提高。 Aiming at the large quantity computation of matching and recognition in the back-end, this paper proposed a paral- lel architecture of multiple-PE( processing element)which achieved effective real-time processing performance. The proposed architecture has been implemented on the Virtex-6 FPGA, which significantly improved the processing performance in the ease of ensuring the accuracy of recognition.
出处 《计算机应用研究》 CSCD 北大核心 2013年第8期2419-2421,2446,共4页 Application Research of Computers
基金 国家"863"计划资助项目(2011AA010603)
关键词 固定语音识别 处理单元 匹配 并行 FPGA specific speech recognition processing element(PE) matching parallel FPGA
  • 相关文献

参考文献10

  • 1潘俊兰.基于特征相似度的音频检索技术研究[D].北京:清华大学,2009.
  • 2张卫强,刘加.网络音频数据检索技术[J].通信学报,2007,28(12):152-155. 被引量:10
  • 3KASHINO K, KUROZUMI T, MURASE H. A quick search method for audio and video signals based on histogram pruning[ J]. IEEE Trans on Multimedia,2003,5(3) : 384-357.
  • 4ZHANG Wei-qiang, LIU Jia. Two stage method for specific audio re- trieval [ C]//Proc of IEEE International Conference on Acoustics, Speech and Signal Processing. Washington DC : IEEE Computer Soci- ety, 2007 : 85- 88.
  • 5SMITH G, MURASE H, KASHINO K. Quick audio retrieval using active search[ C]//Proc of IEEE International Conference on Acous- tics, Speech and Signal Processing. New York: IEEE Press, 1998: 3777-3780.
  • 6KASHINO K, SMITH G, MURASE H. Time-series active search for quick retrieval of audio and video [ C ]//Proc of IEEE International Conference on Acoustics, Speech, and Signal Processing. Washington DC : IEEE Computer Society, 1999:2993-2996.
  • 7YAO Jin-cao, WAN Wang-gen, YU Xiao-qing, et al. A quick speci- fic audio retrieval algorithm based on general prediction [ C ]//Proc of IEEE International Conference on Audio, Language and Image Pro- cessing. Washington DC : IEEE Computer Society,2008 : 1180-1184.
  • 8YANG Hai-jie, YAO Jing, LIU Jia. A novel speech recognition sys- tem-on-chip[ C ]//Proc of International Conference on Audio, Lan- guage and Image Processing. 2008:764-768.
  • 9郑贵滨,韩纪庆,李海峰,郑铁然.基于分段的实时声频检索方法[J].声学学报,2006,31(2):101-108. 被引量:5
  • 10杨继臣,王伟凝.一种基于随机段的固定音频检索方法[J].计算机应用,2010,30(1):230-232. 被引量:4

二级参考文献34

  • 1吕成国,韩纪庆,王承发.动态时间规正与差别子空间相结合的变异语音识别方法[J].声学学报,2005,30(3):229-234. 被引量:2
  • 2郑贵滨,韩纪庆,李海峰,郑铁然.基于分段的实时声频检索方法[J].声学学报,2006,31(2):101-108. 被引量:5
  • 3FOOTE J. An overview of audio information retrieval[ J]. Multimedia Systems, 1999, 7(1) : 2 - 10.
  • 4HANSEN J H L, HUANG RONGQING. SpeechFind: Advances in spoken document retrieval for a national gallery of the spoken word [J]. IEEE Transactions on Speech and Audio processing, 2005, 13 (5): 712-730.
  • 5CHECHIL G, LE E, REHN M, et al. Large-scale content-based audio retrieval from text queries[ C]//Proceedings of 1st ACM International Conference on Multimedia Information Retrieval. New York: ACM, 2008:105 - 112.
  • 6SMITH G, MURASE H, KASHINO K. Quick audio retrieval using active search[C]// IEEE International Conference on Acoustics, Speech and Signal Processing. New York: IEEE, 1998, 6:3777 - 3780,.
  • 7KASHINO K, KUROZUMI T, MURASE H. A quick search method for audio and video signals based on histogram pruning[ J]. IEEE Transactions on Multimedia, 2003, 5 (3) : 384 - 357.
  • 8ZHANG W Q, LIY J. two-stage method for specific audio retrieval [ C]// IEEE International Conference on Acoustics, Speech and Signal Processing. New York: IEEE, 2007, 4:85 - 88.
  • 9YAO J C, WAN W W, YU X Q, et al. A quick specific audio retrieval algorithm based on general prediction[ C]// IEEE 2008 International Conference on Audio, Language and Image Processing. New York: IEEE, 2008, 1180 - 1184.
  • 10JOHNSON S E, WOODLAND P C. A method for direct audio search with application to indexing and retrieval[ C]// IEEE International Conference on Acoustics, Speech and Signal Processing. New York: IEEE, 2000, 3:1427 - 1430.

共引文献12

同被引文献9

  • 1马永军,吴文旭,何锵锵.一种利用多核计算的目标检测算法[C]//Proceedings of 2010 International Confer- ence on Services Science, Management and Engineering. Hongkong: IITA, 2010 : 209-212.
  • 2Rajasekaran S. Efficient parallel algorithms for template matching [J]. Parallel Processing Letters, 2002, 12 (3/4) : 359-364.
  • 3Anderson R F, Kirtzic J S, Daescu O. Applying parallel design techniques to template matching with GPUs [M]. High Performance Computing for Computational Science : VECPAR 2010. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 : 456-468.
  • 4NVIDIA. NVIDIA CUDA C Programming Guide: Version 5.0 [EB/OL]. [2012-10-01 ]. http-//www.nvidia. cn/object/maintenance-cudazone-cn.html.
  • 5仇德元.GPGPU编程技术:从GLSL,CUDA到OpenGL[M].北京:机械工业出版社,2011.
  • 6Yoo J C, Han T H. Fast normalized cross-correlation [J]. Circuits, Systems and Signal Processing, 2009,28 (6) : 819-843.
  • 7张保,董小社,白秀秀,曹海军,刘超,梅一多.CPU-GPU系统中基于剖分的全局性能优化方法[J].西安交通大学学报,2012,46(2):17-23. 被引量:10
  • 8赵东明,罗亮.基于DNA计算的图像模板匹配算法[J].华中科技大学学报(自然科学版),2013,41(2):97-101. 被引量:2
  • 9李俊山,沈绪榜.K元2-立方体网络SIMD计算机图像模板匹配并行算法[J].计算机学报,2001,24(11):1196-1201. 被引量:9

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部