Dual channel based speech enhancement using novelty filter for robust speech recognition in automobile environment

Jounghoon Beh, Robert H. Baran, Hanseok Ko

    Research output: Contribution to journalArticlepeer-review

    23 Citations (Scopus)

    Abstract

    In this paper, a simple and effective dual channel speech enhancement algorithm is proposed. The proposed algorithm incorporates a novelty filter scheme, performing associative memory and aiming at improving the performance of the dual channel Generalized Sidelobe Canceller (GSC.) The novelty filter is demonstrated as effective for enhancing the reference noise used in the dual channel GSC, such that the assumptions required for adaptive noise cancellation are satisfied. In this paper, the concept of a novelty filter scheme is described, in addition to the conditions required to guarantee the performance of the dual channel GSC and the method of applying the novelty filter scheme to speech enhancement objectives. In representative experiments, superiority of the proposed algorithm is demonstrated using three objective measures; segmental Signal to Noise Ratio (SNR), Log Spectral Distance (LSD) and word accuracy, which are evaluated via speech data recorded in real automobile environments.

    Original languageEnglish
    Pages (from-to)583-589
    Number of pages7
    JournalIEEE Transactions on Consumer Electronics
    Volume52
    Issue number2
    DOIs
    Publication statusPublished - 2006 May

    Bibliographical note

    Funding Information:
    This research was supported by the MIC under the IT Foreign Specialist Inviting Program

    Keywords

    • Generalized Sidelobe Canceller
    • Novelty filter
    • Speech enhancement
    • Speech recognition

    ASJC Scopus subject areas

    • Media Technology
    • Electrical and Electronic Engineering

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