End-to-End Auditory Object Recognition via Inception Nucleus

25 May 2020Mohammad K. EbrahimpourTimothy SheaAndreea DanielescuDavid C. NoelleChristopher T. Kello

Machine learning approaches to auditory object recognition are traditionally based on engineered features such as those derived from the spectrum or cepstrum. More recently, end-to-end classification systems in image and auditory recognition systems have been developed to learn features jointly with classification and result in improved classification accuracy... (read more)

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