activity
20232026
most citedText Generation with Speech Synthesis for ASR Data Augmentation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models

Jeffrey M. Girard, Jason Z. Zheng, Jacqueline R. Vertino +2

Reading a social situation often depends on behavior, not words alone. We introduce FriendBench, a benchmark for inferring whether two people are already familiar or are meeting as…

cs.CV2025

Seamless Interaction: Dyadic Audiovisual Motion Modeling and Large-Scale Dataset

Vasu Agrawal, Akinniyi Akinyemi, Kathryn Alvero +81

Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. To develop socially intelligent…

cs.CL2023

EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models

Maureen de Seyssel, Antony D'Avirro, Adina Williams +1

We introduce EmphAssess, a prosodic benchmark designed to evaluate the capability of speech-to-speech models to encode and reproduce prosodic emphasis. We apply this to two tasks:…

cs.CL2023

EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis

Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro +10

Recent work has shown that it is possible to resynthesize high-quality speech based, not on text, but on low bitrate discrete units that have been learned in a self-supervised fash…

cs.CL2023★ 1 cited

Text Generation with Speech Synthesis for ASR Data Augmentation

Zhuangqun Huang, Gil Keren, Ziran Jiang +11

Aiming at reducing the reliance on expensive human annotations, data synthesis for Automatic Speech Recognition (ASR) has remained an active area of research. While prior work main…