Add to ORKGIn this paper, we improve the speaker independent emotion classification of the CASIA Mandarin emotional speech corpus, which is provided by Chinese-LDC covering four basic emotions, angry, happy, neutral, and sad. We achieve this by restoring the human processing on emotion perception with a three layered model. The three layered model is constructed with acoustic features in the bottom layer, semantic primitives in the middle layer, and emotion dimensions in the top layer. To implement the proposed system, we first investigate the optimal acoustic feature set that is related to each emotion dimension, then mapping these acoustic features to emotion dimensions through the estimated semantic primitives by using Fuzzy Inference System (FIS)....
Abstract—Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Int...
Abstract:- Natural language has attracted importance to some researchers working on Emotion recogniz...
In this paper we present current results in emotion classi-cation based on features extracted from t...
This paper proposes a three-layer model for estimating the expressed emotions in a speech signal bas...
In this paper, a novel approach for mandarin speech emotion recognition, that is mandarin speech emo...
We can communicate using speech from which various information can be perceived. Emotion is an espec...
This paper proposes an emotional speech synthesis system based on a three-layered model using a dime...
This paper describes an efficient attempt to build a three-layer emotion perception model consisting...
Abstract Accurate emotion recognition from speech is important for applications like smart health c...
Prosodic features have been proven important to discriminate between different speech emotions, but ...
ii In this thesis, the emotion recognition from noisy Mandarin speech is realized. This thesis propo...
There have been some studies about spoken natural language dialog, and most of them have successfull...
This paper proposes a system to convert neutral speech to emotional with controlled intensity of emo...
Three-layered model is a perceptual model mimicking the process of human perception on speech emotio...
In this thesis, we describe extensive experiments on the classification of emotions from speech usin...
Abstract—Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Int...
Abstract:- Natural language has attracted importance to some researchers working on Emotion recogniz...
In this paper we present current results in emotion classi-cation based on features extracted from t...
This paper proposes a three-layer model for estimating the expressed emotions in a speech signal bas...
In this paper, a novel approach for mandarin speech emotion recognition, that is mandarin speech emo...
We can communicate using speech from which various information can be perceived. Emotion is an espec...
This paper proposes an emotional speech synthesis system based on a three-layered model using a dime...
This paper describes an efficient attempt to build a three-layer emotion perception model consisting...
Abstract Accurate emotion recognition from speech is important for applications like smart health c...
Prosodic features have been proven important to discriminate between different speech emotions, but ...
ii In this thesis, the emotion recognition from noisy Mandarin speech is realized. This thesis propo...
There have been some studies about spoken natural language dialog, and most of them have successfull...
This paper proposes a system to convert neutral speech to emotional with controlled intensity of emo...
Three-layered model is a perceptual model mimicking the process of human perception on speech emotio...
In this thesis, we describe extensive experiments on the classification of emotions from speech usin...
Abstract—Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Int...
Abstract:- Natural language has attracted importance to some researchers working on Emotion recogniz...
In this paper we present current results in emotion classi-cation based on features extracted from t...