A Study on Robust Speech Recognition System Using Characteristic Space Filtering and its Low-Power LSI Design

基于特征空间滤波的鲁棒语音识别系统及其低功耗LSI设计研究

基本信息

  • 批准号:
    15300010
  • 负责人:
  • 金额:
    $ 10.43万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2006
  • 项目状态:
    已结题

项目摘要

In this study, the new algorithm of noise robust speech recognition and its real-time LSI system with low po wer consumption have been developed. These techniques are used under actual environment and useful for mobile human interface. As to the algorithm development, general purpose robust speech recognition system has been proposed. Using this method, about 98% recognition correctness at best performance and 60% correctness at average performance can be obtained for unspecific male and female over 0 dB SNR environments.As to LSI design, super-parallel and super-pipeline processing LSI for robust automatic speech recognition (ASR) has been designed and realized. The technology of LSI is 0.25micron and its power consumption can be reduced 1/5 than DSP based same ASR system. In addition to this design, the total system, i.e., the full ASR system board including this LSI has also been designed. It has microphone IO, analog amplifier and digital ASR system. The high performance of robust speech recognition can be obtained in the real fields.
本文提出了一种新的抗噪声语音识别算法及其低功耗实时大规模集成电路系统。这些技术在实际环境中得到了应用,对移动的人机界面设计具有一定的参考价值。在算法开发方面,提出了通用鲁棒语音识别系统。该方法在信噪比大于0 dB的环境下,最佳识别率可达98%,平均识别率可达60%。在大规模集成电路设计方面,设计并实现了一种用于鲁棒自动语音识别(ASR)的超并行、超流水线处理大规模集成电路。大规模集成电路工艺为0.25微米,功耗比基于DSP的同类ASR系统降低1/5。除了这种设计之外,整个系统,即,还设计了包括该LSI的完整ASR系统板。它有麦克风输入输出,模拟放大器和数字ASR系统。在真实的环境中,可以获得高性能的鲁棒语音识别。

项目成果

期刊论文数量(142)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Cepstral gain normalization for noise robust speech recognition
A New Adaptive Modulation and Coding Applied on a 400-Mbps OFDM Wireless Communication System
一种应用于400Mbps OFDM无线通信系统的新型自适应调制和编码
Evaluation of Adaptive Modulation and Coding Applied on a 400 Mbps OFDM Wireless Communication Systems
400 Mbps OFDM 无线通信系统中自适应调制和编码的评估
Robust Speech Feature Extraction using RSF/DRA and Burst Noise Skinning
使用 RSF/DRA 和突发噪声剥皮进行鲁棒语音特征提取
A Vowels Recognition Model for Laotion language using Transfer Function on Bark scale and Hidden Markov Modeling
使用巴克尺度传递函数和隐马尔可夫模型的Laion语言元音识别模型
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MIYANAGA Yoshikazu其他文献

VLSI Implementation of a Scalable Pipeline MMSE MIMO Detector for a 4×4 MIMO-OFDM Receiver
用于 4×4 MIMO-OFDM 接收器的可扩展流水线 MMSE MIMO 检测器的 VLSI 实现

MIYANAGA Yoshikazu的其他文献

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{{ truncateString('MIYANAGA Yoshikazu', 18)}}的其他基金

A Study on the Design of the Optimum Power Controlled Cognitive MIMO-OFDM System
最优功率控制认知MIMO-OFDM系统设计研究
  • 批准号:
    24240007
  • 财政年份:
    2012
  • 资助金额:
    $ 10.43万
  • 项目类别:
    Grant-in-Aid for Scientific Research (A)
A Study on the LSI Design with Ultra Low-Power Consumption of Robust Speech Recognition Systems
鲁棒语音识别系统超低功耗LSI设计研究
  • 批准号:
    20300014
  • 财政年份:
    2008
  • 资助金额:
    $ 10.43万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
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