TY - GEN
T1 - Stable Implementation Of Voice Activity Detector using Zero-Phase Zero Frequency Resonator On FPGA
AU - Jabbar, Syed Abdul
AU - Barche, Purva
AU - Gurugubelli, Krishna
AU - Azeemuddin, Syed
AU - Vuppala, Anil Kumar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Voice activity detection (VAD), is a signal processing technique used to determine whether a given speech signal contains voiced or unvoiced segments. VAD is used in various applications such as Speech Coding, Voice Controlled Systems, speech feature extraction, etc. For example, in Adaptive multi-rate (AMR) speech coding, VAD is used as an efficient way of coding different speech frames at different bit rates. In this paper, we implemented the application of a Zero-Phase Zero Frequency Resonator (ZP-ZFR) as VAD on hardware. ZP-ZFR is an Infinite Impulse Response (IIR) filter that offers the advantage of requiring a lower filter order, making it suitable for hardware implementation. The proposed system is implemented on the TIMIT database using the Nexys Video Artix-7 FPGA board. The hardware design is carried out using Vivado 2021.1, a popular tool for FPGA development. The Hardware Description Language (HDL) used for implementation is Verilog. The proposed system achieves good performance with low complexity. Therefore this work is implemented on hardware, which can be used in various applications.
AB - Voice activity detection (VAD), is a signal processing technique used to determine whether a given speech signal contains voiced or unvoiced segments. VAD is used in various applications such as Speech Coding, Voice Controlled Systems, speech feature extraction, etc. For example, in Adaptive multi-rate (AMR) speech coding, VAD is used as an efficient way of coding different speech frames at different bit rates. In this paper, we implemented the application of a Zero-Phase Zero Frequency Resonator (ZP-ZFR) as VAD on hardware. ZP-ZFR is an Infinite Impulse Response (IIR) filter that offers the advantage of requiring a lower filter order, making it suitable for hardware implementation. The proposed system is implemented on the TIMIT database using the Nexys Video Artix-7 FPGA board. The hardware design is carried out using Vivado 2021.1, a popular tool for FPGA development. The Hardware Description Language (HDL) used for implementation is Verilog. The proposed system achieves good performance with low complexity. Therefore this work is implemented on hardware, which can be used in various applications.
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U2 - 10.1109/RTC58825.2023.10304243
DO - 10.1109/RTC58825.2023.10304243
M3 - Conference contribution
AN - SCOPUS:85178567685
T3 - 2023 IEEE International Conference and Expo on Real Time Communications at IIT, RTC 2023
SP - 13
EP - 18
BT - 2023 IEEE International Conference and Expo on Real Time Communications at IIT, RTC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th Annual IEEE International Conference and Expo on Real Time Communications at IIT, RTC 2023
Y2 - 2 October 2023 through 5 October 2023
ER -