activity
20192026
most citedThird DIHARD Challenge Evaluation Plan

13 citations · 20 across the 10 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Conceptors for Semantic Steering

Ilias Triantafyllopoulos, Young-Min Cho, Ren Tao +6

Activation-based steering provides control of LLM behavior at inference time, but the dominant paradigm reduces each concept to a single direction whose geometry is left largely un…

cs.CL2025

Evaluating Speech-to-Text Systems with PennSound

Jonathan Wright, Mark Liberman, Neville Ryant +1

A random sample of nearly 10 hours of speech from PennSound, the world's largest online collection of poetry readings and discussions, was used as a benchmark to evaluate several c…

eess.AS2025

WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning

Rajath Rao, Adithya Ganesan, Oscar Kjell +10

Current speech encoding pipelines often rely on an additional text-based LM to get robust representations of human communication, even though SotA speech-to-text models often have…

cs.CL2023★ 1 cited

Improved POS tagging for spontaneous, clinical speech using data augmentation

Seth Kulick, Neville Ryant, David J. Irwin +2

This paper addresses the problem of improving POS tagging of transcripts of speech from clinical populations. In contrast to prior work on parsing and POS tagging of transcribed sp…

cs.SD2022

Inferring Pitch from Coarse Spectral Features

Danni Ma, Neville Ryant, Mark Liberman

Fundamental frequency (F0) has long been treated as the physical definition of "pitch" in phonetic analysis. But there have been many demonstrations that F0 is at best an approxima…

cs.CL2022

A Part-of-Speech Tagger for Yiddish

Seth Kulick, Neville Ryant, Beatrice Santorini +2

We describe the construction and evaluation of a part-of-speech tagger for Yiddish. This is the first step in a larger project of automatically assigning part-of-speech tags and sy…