Emotion information from speech can effectively help robots understand speaker's intentions
in natural human-robot interaction. The human auditory system can easily track temporal …

Continuous dimensional emotion recognition from speech helps robots or virtual agents
capture the temporal dynamics of a speaker's emotional state in natural human–robot …

Deep learning has revolutionized voice activity detection (VAD) by offering promising
solutions. However, directly applying traditional features, such as raw waveforms and Mel …

Speech signals can be represented as a sum of amplitude-modulated frequency bands. This
sum can also be regarded as a temporal amplitude envelope (TAE) with temporal fine …

This study focuses on identifying effective features for controlling speech to increase speech
intelligibility under adverse conditions. Previous approaches either cancel noise throughout …

Despite being an elusive concept, the temporal amplitude envelope of a signal is essential
for its complete characterization, being the primary information-carrying medium in spoken …

Previous studies on noise-vocoded speech showed that the temporal modulation cues
provided by the temporal envelope play an important role in the perception of vocal emotion …

Distinguishing human-imitated speech from genuine speech presents a significant
challenge for listeners due to their natural resemblance. Human auditory perception (HAP) …

It has been known that noise and reverberation greatly affect the perception of linguistic
information, in particular speech intelligibility. However, the effect of noise and reverberation …

In this paper, we address the problem of classifying four common utterance characteristics
related to the utterance speed, which cause speech recognition errors. We previously …