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Frame-by-frame speech recognition as hardware decoding on FPGA devices

机译:逐帧语音识别作为FPGA设备上的硬件解码

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This paper proposes frame-by-frame speech recognition as a hardware decoder on Field Programmable Gate Arrays (FPGAs). As a first step for FPGA implementation, Voice Activity Detection (VAD) using second order autocorrelation and a speech recognition decoder using formant frequency distances were evaluated. The hardware decoding was then implemented on an FPGA emulator. The VAD and decoder were demonstrated to be effective, and hence could be suitable for implementation on FPGA devices.
机译:本文提出了逐帧语音识别作为现场可编程门阵列(FPGA)的硬件解码器。作为FPGA实现的第一步,评估使用二阶自相关的语音活动检测(VAD)和使用格式频率距离的语音识别解码器。然后在FPGA仿真器上实现硬件解码。 VAD和解码器被证明是有效的,因此可以适用于FPGA器件的实现。

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