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Frame Selection for Robust Speaker Identification: A Hybrid Approach

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Abstract

Identification of a person using voice is a challenging task under environmental noises. Important and reliable frame selection for feature extraction from the time-domain speech signal under noise can play a significant role in improving speaker identification accuracy. Therefore, this paper presents a frame selection method using hybrid technique, which combines two techniques, namely, voice activity detection (VAD) and variable frame rate (VFR) analysis. It efficiently captures the active speech part, the changes in the temporal characteristics of the speech signal, taking into account the signal-to-noise ratio, and thereby speaker-specific information. Experimental results on noisy speech, generated by artificially adding various noise signals to the clean YOHO speech at different SNRs have shown improved results for the frame selection by the hybrid technique in comparison with any one of the techniques used for the hybrid. The proposed hybrid technique outperformed both the VFR and the widely used Gaussian statistical model based VAD method for all noise scenarios at different SNRs, except for the Babble noise corrupted speech at 5 dB SNR, for which, VFR performed better. Considering the average identification accuracies of different noise scenarios, a relative improvement of 9.79% over the VFR, and 18.05% over the Gaussian statistical model based VAD method has been achieved.

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Acknowledgements

This study was supported by the Erasmus Mundus Mobility for Life Project funded by the European Commission. It is carried out at the Center for TeleInFrastruktur, Department of Electronic Systems, Aalborg University, Aalborg 9220, Denmark.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India

    Swati Prasad

  2. Department of Electronic Systems, Aalborg University, Aalborg, 9220, Denmark

    Zheng-Hua Tan

  3. Department of Business Development and Technology, Aarhus University, Herning, 7400, Denmark

    Ramjee Prasad

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  1. Swati Prasad
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  2. Zheng-Hua Tan
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  3. Ramjee Prasad
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Correspondence to Swati Prasad.

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Prasad, S., Tan, ZH. & Prasad, R. Frame Selection for Robust Speaker Identification: A Hybrid Approach. Wireless Pers Commun 97, 933–950 (2017). https://doi.org/10.1007/s11277-017-4544-1

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