Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …

Deep learning has now become an integral part of today's world and advancement in the
field of deep learning has gained a huge development. Due to the extensive use and fast …

“Emotion Recognition Using Speech Features” provides coverage of emotion-specific
features present in speech. The author also discusses suitable models for capturing emotion …

Deep learning models trained on audio-visual data have been successfully used to achieve
state-of-the-art performance for emotion recognition. In particular, models trained with …

Expressive speech introduces variations in the acoustic features affecting the performance
of speech technology such as speaker verification systems. It is important to identify the …

Currently, many smart speakers, even social robots, appear on the market to help people's
lives become more convenient. Usually, people use smart speakers to check their daily …

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion
conversion, tested on three different datasets (languages), namely, EmoDB (German) …

Emotional voice conversion systems are used to formulate map** functions to transform
the neutral speech from output of text-to-speech systems to that of target emotion …

Studies have shown that emotional variability in speech degrades the performance of
speaker recognition tasks. Of particular interest is the error produced due to mismatch …

Expressive speech can be synthesized using acoustic feature modeling by map** the
spectral and fundamental frequency parameters between neutral speech and target …