Performance of Text-Independent Automatic Speaker Recognition on a Multicore System | TUP Journals & Magazine | IEEE Xplore

Performance of Text-Independent Automatic Speaker Recognition on a Multicore System

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Open Access

Abstract:

This paper studies a high-speed text-independent Automatic Speaker Recognition (ASR) algorithm based on a multicore system's Gaussian Mixture Model (GMM). The high speech...Show More

Abstract:

This paper studies a high-speed text-independent Automatic Speaker Recognition (ASR) algorithm based on a multicore system's Gaussian Mixture Model (GMM). The high speech is achieved using parallel implementation of the feature's extraction and aggregation methods during training and testing procedures. Shared memory parallel programming techniques using both OpenMP and PThreads libraries are developed to accelerate the code and improve the performance of the ASR algorithm. The experimental results show speed-up improvements of around 3.2 on a personal laptop with Intel i5-6300HQ (2.3 GHz, four cores without hyper-threading, and 8 GB of RAM). In addition, a remarkable 100% speaker recognition accuracy is achieved.
Published in: Tsinghua Science and Technology ( Volume: 29, Issue: 2, April 2024)
Page(s): 447 - 456
Date of Publication: 22 September 2023
Electronic ISSN: 1007-0214

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