activity
20182023
most citedSpoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop

113 citations · 157 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.RO2020★ 113 cited

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop

Matthew Marge, Carol Espy-Wilson, Nigel Ward

With robotics rapidly advancing, more effective human-robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be pa…

cs.CL2020

Analysis of Disfluency in Children's Speech

Trang Tran, Morgan Tinkler, Gary Yeung +2

Disfluencies are prevalent in spontaneous speech, as shown in many studies of adult speech. Less is understood about children's speech, especially in pre-school children who are st…

eess.AS2020

Speaker discrimination in humans and machines: Effects of speaking style variability

Amber Afshan, Jody Kreiman, Abeer Alwan

Does speaking style variation affect humans' ability to distinguish individuals from their voices? How do humans compare with automatic systems designed to discriminate between voi…

eess.AS2020★ 1 cited

Variable frame rate-based data augmentation to handle speaking-style variability for automatic speaker verification

Amber Afshan, Jinxi Guo, Soo Jin Park +3

The effects of speaking-style variability on automatic speaker verification were investigated using the UCLA Speaker Variability database which comprises multiple speaking styles p…

eess.AS2020

Exploring the Use of an Unsupervised Autoregressive Model as a Shared Encoder for Text-Dependent Speaker Verification

Vijay Ravi, Ruchao Fan, Amber Afshan +2

In this paper, we propose a novel way of addressing text-dependent automatic speaker verification (TD-ASV) by using a shared-encoder with task-specific decoders. An autoregressive…