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@article{145303,
        author = {Bore Gowda H B},
        title = {Environmental Sound Recognition  : A Survey},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {9},
        pages = {1-5},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145303},
        abstract = {There search in audio recognition has traditionally focused on speech and music signals, the problemof environmental sound recognition (ESR) has received more attention in recent years. Research on ESR has significantly increased in the past decade. Recent work has focused on the appraisal of non-stationary aspects of environmental sounds, and several new features predicated on non-stationary characteristics have been proposed. These features strive to maximize their information content pertaining to signal’s temporal and spectral characteristics. Furthermore, sequential learning methods have been used to capture the long-term variation of environmental sounds. In this survey, we will offer a qualitative and elucidatory survey on recent developments. It includes three parts: i) basic environmental sound processing schemes, ii) stationary ESR techniques and iii) non-stationary ESR techniques. Finally, concluding remarks and future research and development trends in the ESR field will be given.},
        keywords = {Environmental Sound Recognition(ESR) ,Mel filter, Audio Features ,Mel-Frequency  Cepstral  Coeffecients},
        month = {},
        }