Phoneme Classification Using the Auditory Neurogram

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

Phoneme classification using the Hartley phase spectrum

The phase of a signal conveys critical information for signal interpretation. However, signal phase extraction is not a straightforward process, mainly due to the discontinuities appearing in the phase spectrum. Previously, it was shown that for the application of audio classification, in case features of the processed phase spectrum are combined with magnitude related features they provide hig...

متن کامل

Automatic Phoneme Segmentation Using Auditory Attention Features

Segmentation of speech into phonemes is beneficial for many spoken language processing applications. Here, a novel method which uses auditory attention features for detecting phoneme boundaries from acoustic signal is proposed. The auditory attention model can successfully detect salient audio events/sounds in an acoustic scene by capturing changes that make such salient events perceptually dif...

متن کامل

Auditory Cortical Representations of Speech Signals for Phoneme Classification

The use of biologically inspired, feature extraction methods has improved the performance of artificial systems that try to emulate some aspect of human communication. Recent techniques, such as independent component analysis and sparse representations, have made it possible to undertake speech signal analysis using features similar to the ones found experimentally at the primary auditory corte...

متن کامل

Phoneme representation and classification in primary auditory cortex.

A controversial issue in neurolinguistics is whether basic neural auditory representations found in many animals can account for human perception of speech. This question was addressed by examining how a population of neurons in the primary auditory cortex (A1) of the naive awake ferret encodes phonemes and whether this representation could account for the human ability to discriminate them. Wh...

متن کامل

Phoneme Classification Using Kernel Principal Component Analysis

A substantial number of linear and nonlinear feature space transformation methods have been proposed in recent years. Using the so-called ”kernel-idea” well-known linear techniques such as Principal Component Analysis(PCA), Linear Discriminant Analysis(LDA) and Independent Component Analysis(ICA) can be non-linearized in a general way. The aim of this paper here is twofold. First, we describe t...

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: IEEE Access

سال: 2017

ISSN: 2169-3536

DOI: 10.1109/access.2016.2647229