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4. End-To-End Auditory Object Recognition Via Inception Nucleus

End-To-End Auditory Object Recognition Via Inception Nucleus

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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End-To-End Auditory Object Recognition Via Inception Nucleus

00:13:15

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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

End-To-End Auditory Object Recognition Via Inception Nucleus

00:14:50

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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