Unsupervised and Neural Hybrid Techniques for Audio Signal Classification
نویسندگان
چکیده
منابع مشابه
A Study on Music Genre Recognition and Classification Techniques
Automatic classification of music genre is widely studied topic in music information retrieval (MIR) as it is an efficient method to structure and organize the large numbers of music files available on the Internet. Generally, the genre classification process of music has two main steps: feature extraction and classification. The first step obtains audio signal information, while the second one...
متن کاملطبقه بندی و شناسایی رخساره‌های زمین‌شناسی با استفاده از داده‌های لرزه نگاری و شبکه‌های عصبی رقابتی
Geological facies interpretation is essential for reservoir studying. The method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. Use of neural networks as classifiers is increasing in different sciences like seismic. They are computer efficient and ideal for patterns identification. They can simply learn new algori...
متن کاملتشخیص آریتمی انقباضات زودرس بطنی در سیگنال الکتریکی قلب با استفاده ازترکیب طبقه‌بندها
Cardiovascular diseases are the most dangerous diseases and one of the biggest causes of fatality all over the world. One of the most common cardiac arrhythmias which has been considered by physicians is premature ventricular contraction (PVC) arrhythmia. Detecting this type of arrhythmia due to its abundance of all ages, is particularly important. ECG signal recording is a non-invasive, popula...
متن کاملCredit scoring in banks and financial institutions via data mining techniques: A literature review
This paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in Credit scoring. Yet there isn’t any literature in the field of data mining applications in credit scoring. Using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the Science direct onli...
متن کاملPhonetic classification of timit segments preprocessed with lyon's cochlear model using a supervised/unsupervised hybrid neural network
We report results on vowel and stop consonant recognition with tokens extracted from the TIMIT database. Our current system diiers from others doing similar tasks in that we do not use any speciic time normalization techniques. We use a very detailed biologically motivated input representation of the speech tokens-Lyon's cochlear model as implemented by Slaney 20]. This detailed, high dimension...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017