Should deep neural nets have ears? the role of auditory features in deep learning approaches

نویسندگان

  • Angel Mario Castro Martinez
  • Niko Moritz
  • Bernd T. Meyer
چکیده

The role of auditory features in deep learning approaches Angel Mario Castro Martinez, Niko Moritz , Bernd T. Meyer 1 Department für medizinische Physik und Akustik, Exzellenzcluster Hearing4all, Carl von Ossietzky Universität Oldenburg, Germany 2 Fraunhofer IDMT Hearing, Speech and Audio Technology, Oldenburg, Germany [email protected], [email protected], [email protected] Abstract

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Method for Detecting Ships in Low Size and Low Contrast Marine Images: Using Deep Stacked Extreme Learning Machines

Detecting ships in marine images is an essential problem in maritime surveillance systems. Although several types of deep neural networks have almost ubiquitously used for this purpose, but the performance of such networks greatly drops when they are exposed to low size and low contrast images which have been captured by passive monitoring systems. On the other hand factors such as sea waves, c...

متن کامل

P-V-L Deep: A Big Data Analytics Solution for Now-casting in Monetary Policy

The development of new technologies has confronted the entire domain of science and industry with issues of big data's scalability as well as its integration with the purpose of forecasting analytics in its life cycle. In predictive analytics, the forecast of near-future and recent past - or in other words, the now-casting - is the continuous study of real-time events and constantly updated whe...

متن کامل

Why do ASR Systems Despite Neural Nets Still Depend on Robust Features

To which extent can neural nets learn traditional signal processing stages of current robust ASR front-ends? Will neural nets replace the classical, often auditory-inspired feature extraction in the near future? To answer these questions, a DNN-based ASR system was trained and tested on the Aurora4 robust ASR task using various (intermediate) processing stages. Additionally, the training set wa...

متن کامل

A Deep Model for Super-resolution Enhancement from a Single Image

This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...

متن کامل

The Relationship of Study and Learning approaches with Students’ Academic Achievement in Rafsanjan University of Medical Sciences

Introduction: Most experts consider learning approach as the fundamental basis of learning dividing it into two parts of deep learning approach and surface learning approach. This is an endeavor to investigate the relationship between learning and study approaches with academic achievement among students in Rafsanjan University of Medical Sciences. Methods: This descriptive cross-sectional stu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014