Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …

Mel-filterbanks are fixed, engineered audio features which emulate human perception and
have been used through the history of audio understanding up to today. However, their …

In this study, modulation spectral features (MSFs) are proposed for the automatic recognition
of human affective information from speech. The features are extracted from an auditory …

A modulation spectral representation is investigated for non-intrusive quality and
intelligibility measurement of reverberant and dereverberated speech. The representation is …

This paper aims at recognizing emotions for a text-independent and speaker-independent
emotion recognition system based on a novel classifier, which is a hybrid of a cascaded …

Speech recognition technology has left the research laboratory and is increasingly coming
into practical use, enabling a wide spectrum of innovative and exciting voice-driven …

This paper introduces the Voices Obscured In Complex Environmental Settings (VOICES)
corpus, a freely available dataset under Creative Commons BY 4.0. This dataset will …

Robustness of speaker recognition systems is crucial for real-world applications, which
typically contain both additive noise and room reverberation. However, the combined effects …

This paper presents a far-field text-dependent speaker verification database named HI-MIA.
We aim to meet the data requirement for far-field microphone array based speaker …

Wearable devices are burgeoning, and applications across numerous verticals are
emerging, including human performance monitoring, at-home patient monitoring, and health …