Comparison of speaker dependent and speaker independent emotion recognition

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

Comparison of speaker dependent and speaker independent emotion recognition

This paper describes a study of emotion recognition based on speech analysis. The introduction to the theory contains a review of emotion inventories used in various studies of emotion recognition as well as the speech corpora applied, methods of speech parametrization, and the most commonly employed classification algorithms. In the current study the EMO-DB speech corpus and three selected cla...

متن کامل

Speaker-dependent audio-visual emotion recognition

This paper explores the recognition of expressed emotion from speech and facial gestures for the speaker-dependent case. Experiments were performed on an English audio-visual emotional database consisting of 480 utterances from 4 English male actors in 7 emotions. A total of 106 audio and 240 visual features were extracted and features were selected with Plus l-Take Away r algorithm based on Bh...

متن کامل

Speaker dependent emotion recognition using prosodic supervectors

This work presents a novel approach for detection of emotions embedded in the speech signal. The proposed approach works at the prosodic level, and models the statistical distribution of the prosodic features with Gaussian Mixture Models (GMM) mean-adapted from a Universal Background Model (UBM). This allows the use of GMM-mean supervectors, which are classified by a Support Vector Machine (SVM...

متن کامل

Speaker dependent emotion recognition using speech signals

This paper examines three algorithms to recognize speaker’s emotion using the speech signals. Target emotions are happiness, sadness, anger, fear, boredom and neutral state. MLB(Maximum-Likelihood Bayes), NN(Nearest Neighbor) and HMM(Hidden Markov Model) algorithms are used as the pattern matching techniques. In all cases, pitch and energy are used as the features. The feature vectors for MLB a...

متن کامل

Text independent speaker recognition using speaker dependent word spotting

This paper is motivated by the fact that text dependent speaker recognition is inherently more accurate than text independent speaker recognition. In this work we assign models to frequent words spoken by a speaker and spot them in a test call. In this way, text-dependent speaker recognition technology can be used for text independent tasks. The approach we take is to use DTW (Dynamic Time Warp...

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: International Journal of Applied Mathematics and Computer Science

سال: 2013

ISSN: 1641-876X

DOI: 10.2478/amcs-2013-0060