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Research on Endpoint Detection Algorithm and Implementation in Hardware

Author: ZhouMingZhong
Tutor: JiLiXin
School: PLA Information Engineering University
Course: Communication and Information System
Keywords: Endpoint detection VAD FPGA Hardware implementation Spectral Entropy Weighted zero rate
CLC: TN912.34
Type: Master's thesis
Year: 2010
Downloads: 122
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Abstract


In speech signal processing, the use of certain characteristics of the voice will distinguish then part and no words part, known as the voice endpoint detection. Accurate voice endpoint detection will improve channel utilization and to reduce the amount of voice data processing. The early endpoint detection algorithm based on short-term energy and zero-crossing rate, cepstral distance, spectral entropy detection. However, these methods are difficult to reach equilibrium in the recognition performance and processing speed. With the rapid development of communication and information technology, the telephone channel voice processing applications in the field of information security is constantly extended and deepened, in order to solve the growing mass of voice data, the demand for large-capacity real-time voice processing system. The purpose of this project is to solve the problem of multiple telephone channel real-time voice endpoint detection in large-scale environments. The papers for endpoint detection in large-capacity real-time voice processing system designed to achieve the study, the study include: 1, for the classic two-door limit of detection of strong anti-noise performance shortcomings, proposed EWZCD algorithm. The anti-noise performance of the improved algorithm has been greatly improved to meet the demand for higher SNR telephone channel voice detection. 2, based on the time domain zero plot and frequency domain spectral entropy classification to detect the ideological proposed EZV-EGD algorithm. Lower the actual voice signal-to-noise ratio on the part of the line, the introduction of the spectral entropy grading detection algorithm step by step in the time domain and frequency domain convergence. The main idea of ??the algorithm is that the time domain zero plot a judgment of the speech signal, voice and noise detection part determined; reuse secondary judgment to the frame of the primary treatment of suspected voice frequency domain spectral entropy. Simulation results show that the improved algorithm can be real-time environment of low signal-to-noise ratio to detect the voice signal. Proposed to focus on FPGA DSP architecture-based hardware design, PCB design process in the layout of the wiring and power handling difficult issues, the final design of the voice processing hardware platform, improved endpoint detection algorithm based on the platform in the FPGA to achieve. In short, subject to the completion of the large-scale application in the telephone network in real-time endpoint detection system for multiple phone channel voice, so to achieve large-scale, multi-channel, real-time and accurate detection is a major problem that must be solved. Achieve the ultimate validation results show that the algorithm EWZCD able to meet the demand for real-time detection of high signal-to-noise ratio of the telephone link, EZV-EGD algorithm to real-time and accurate detection of the low signal-to-noise ratio of the telephone link. Flexible call algorithm according to the characteristics of the telephone channel voice, to take, to meet the actual phone channel real-time voice, multiple, large-scale and accurate detection needs.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Electro-acoustic technology and speech signal processing > Speech Signal Processing > Speech Recognition and equipment
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