speech emotion can add more information to speech in comparison to available textual information. however, it will also lead to some problems in speech recognition process. in a previous study, we depicted the substantial changes of speech parameters caused by speech emotion. therefore, in order to improve emotional speech recognition rate, in a first step, the effects of emotion on speech par...

setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. in this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. so the pitch frequency and the first three formant frequencies were used. the experimental results showed that there are lo...

Setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. In this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. So the pitch frequency and the first three formant frequencies were used. The experimental results showed that there are lo...

This work explores the effect of mismatches between adults’ and children’s speech due to differences in various acoustic correlates on the automatic speech recognition performance under mismatched conditions. The different correlates studied in this work include the pitch, the speaking rate, the glottal parameters (open quotient, return quotient, and speech quotient), and the formant frequencie...

Speech emotion can add extra information to speech in comparison with available textual information. However, it can also lead to some problems in the automatic speech recognition process. We evaluated the changes in speech parameters, i.e. formant frequencies and pitch frequency, due to anger and grief for Farsi language in a former research. Here, using those results, we try to improve emotio...

Pitch and formant frequencies are important features in speech which are used to identify the emotional state of a person. The Pitch and Formants are first extracted from the speech signal and then their analysis is carried out to recognize 3 different emotional states of the person. The emotions considered are Neutral, Happy and Sad. The TTS-GU database has been used for the analysis. The Ceps...

In this paper we propose to apply formant pattern recognition to Mandarin vowel pronunciation assessment. We devise a novel pitch cycle detection method and suggest estimating formant frequencies from observations of the frequency domain by using pitch-synchronous analysis. Statistically based classifiers are trained to discriminate formant patterns for vowel pronunciation assessment. Five conf...

In this paper, we put forward a time-domain female-male voice conversion algorithm. This method mainly focuses on two acoustic features that are thought to be the most important to speech individuality: pitch frequency and formant frequencies. To change pitch frequency, we cut off or add the low amplitude parts of speech signals in one pitch period. To change formants, according to the relation...