This study compares human speaker discrimination performance for read speech versus
casual conversations and explores differences between unfamiliar voices that are “easy” …

This study replicates and extends the recent findings of Lee, Keating, and Kreiman [J.
Acoust. Soc. Am. 146 (3), 1568–1579 (2019)] on acoustic voice variation in read speech …

Little is known about human and machine speaker discrimination ability when utterances
are very short and the speaking style is variable. This study compares text-independent …

Spectrogram analysis is a vital skill for learning speech acoustics. Spectrograms are
necessary for visualizing cause-effect relationships between speech articulator movements …

The manner in which acoustic features contribute to perceiving speaker identity remains
unclear. In an attempt to better understand speaker perception, we investigated human and …

We propose an approach to extract speaker embeddings that are robust to speaking style
variations in text-independent speaker verification. Typically, speaker embedding extraction …

Anticipatory coarticulation is a highly informative cue to upcoming linguistic information:
listeners can identify that the word is ben and not bed by hearing the vowel alone. The …

Our prior experiments show that humans and machines seem to employ different
approaches to speaker discrimination, especially in the presence of speaking style …

This study presents a cross-linguistic investigation of acoustic voice spaces in English,
Seoul Korean, and White Hmong, which differ in whether they phonologically contrast …

A speaker's voice constantly varies in everyday situations, such as when talking to a friend,
reading aloud, talking to pets, or narrating a happy incident. These changes in speaking …