Speech Synthesis for Gender Classification

Gender Classification in Emotional Speech

A Comparative Study of Gender and Age Classification in Speech Signals

Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

Combining Speech and Gender Classification for Effective Emotion Recognition

The applications of emotion recognition in consumer electronics are increasing day by day. However the accuracy and stability of the decisions made by appliances largely depends on the efficient recognition of these emotions. The performance may degrade drastically due to interfering noise. This paper proposes a method which may improve the accuracy significantly. Results have confirmed that th...

Robust Multichannel Gender Classification from Speech in Movie Audio

Speech in the form of scripted dialogues forms an important part of the audio signal in movies. However, it is often masked by background audio signals such as music, ambient noise or background chatter. These background sounds make even otherwise simple tasks, such as gender classification, challenging. Additionally, the variability in this noise across movies renders standard approaches to so...

Hierarchical classification for speech-to-speech translation

Concept classifiers have been used in speech to speech translation systems. Their effectiveness, however, depends on the size of the domain that they cover. The main bottleneck in expanding the classifier domain is the degradation in accuracy as the number of classes increase. Here we introduce a hierarchical classification process that aims to scale up the domain without compromising the accur...