An Unsupervised Deep Learning System for Acoustic Scene Analysis

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Acoustic Scene Recognition with Deep Learning

Background. Sound complements visual inputs, and is an important modality for perceiving the environment. Increasingly, machines in various environments have the ability to hear, such as smartphones, autonomous robots, or security systems. This work applies state-of-the-art Deep Learning models that have revolutionized speech recognition to understanding general environmental sounds. Aim. This ...

متن کامل

Deep Within-Class Covariance Analysis for Acoustic Scene Classification

Within-Class Covariance Normalization (WCCN) is a powerful post-processing method for normalizing the within-class covariance of a set of data points. WCCN projects the observations into a linear sub-space where the within-class variability is reduced. This property has proven to be beneficial in subsequent recognition tasks. The central idea of this paper is to reformulate the classic WCCN as ...

متن کامل

Unsupervised Audio Scene Analysis

Motivation: While many company’s are expending great effort in the field of automatic speech recognition(ASR), little attention is being paid to general audio and long-term modeling of audio in general. Even an ASR system which could give a complete transcription of the words heard in an environment would lack vital information. e.g., who was talking, when they were talking, what was the tone o...

متن کامل

Deep Unsupervised Domain Adaptation for Image Classification via Low Rank Representation Learning

Domain adaptation is a powerful technique given a wide amount of labeled data from similar attributes in different domains. In real-world applications, there is a huge number of data but almost more of them are unlabeled. It is effective in image classification where it is expensive and time-consuming to obtain adequate label data. We propose a novel method named DALRRL, which consists of deep ...

متن کامل

An Unsupervised Deep Learning Approach for Scenario Forecasts

In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and datadriven, producing a set of scenarios that represent possible future behaviors based only on historical observations and point forecasts. It first appl...

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

ژورنال

عنوان ژورنال: Applied Sciences

سال: 2020

ISSN: 2076-3417

DOI: 10.3390/app10062076