Speech Emotion Recognition using GFCC and BPNN
نویسندگان
چکیده
From the past years, researchers have showed a very interest in the speech recognition systems based on the emotions. Mainly the research has been done with the aim to bring closer both human and computer with each other by recognizing mood swings. In the recognizing process we must know how to represent the emotions on the basis of some features like sad, happy etc. When the verbal content is well recognized on the speaker’s emotion, a promising enhancement of such systems would come. So recognition in speech is a crucial step. In the proposed work speech emotions will be recognized using hybridization of GFCC (Gammatone Frequency Cepstral Coefficients) and BPNN (Back Propagation Neural Network). The whole simulation will be done in the MATLAB environment to check the comparison result. Keywords— Back Propagation Neural Network, GFCC, Speech Recognition, Emotions.
منابع مشابه
Extracting GFCC Features for Emotion Recognition from Audio Speech Signals
A major challenge for automatic speech recognition (ASR) relates to significant performance reduction in noisy environments. This paper presents our implementation of the Gammatone frequency cepstral coefficients (GFCCs) filter-based feature along with BPNN and the experimental results on English speech data. By some thorough designs, we obtained significant performance gains with the new featu...
متن کاملWhether Mfcc or Gfcc Is Better for Recognizing Emotion from Speech? a Study
A major challenge for automatic speech recognition (ASR) relates to significant performance reduction in noisy environments. Recently, the study of the emotional content of speech signals got more importance and hence, many systems have been proposed to identify the emotional content of a spoken utterance. The important aspects of the design of a speech emotion recognition system are pre-proces...
متن کاملFeature Extraction techniques for Classification of Emotions in Speech Signals
Automatic speech emotion recognition is a process of recognizing emotions in speech. This has wide applications in the area of phsycatrics help and in robotics’he human computer interaction the challenging area of research. Any effective HCI system has two sections Training and testing. The techniques used in the system are feature extraction and classification. This paper focuses on the brief ...
متن کاملSurvey on Knowledge Discovery in Speech Emotion Detection
Knowledge discovery refers to finding some relevant information out of a bulk amount of data. Speech emotion recognition is one of the major areas in the knowledge based discovery. This research work has been carried out using four emotions namely sad happy angry and aggressive. This research work possesses two sections namely training and the testing part. The training part will consists of th...
متن کامل