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20202026
most citedNon-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech

19 citations · 29 across the 27 of their papers we have counts for

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8 papers · 1 filter

cs.CL2026

SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models

Thomas Thebaud, Yuzhe Wang, Hao Zhang +5

Streaming speech-to-speech language models aim to answer spoken queries directly with synthetic speech. However, standard speech and text benchmarks do not capture whether these sy…

cs.CL2026

TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue

Hao Zhang, Thomas Thebaud, Georgi Tinchev +2

Turn-taking naturalness is central to full-duplex spoken dialogue systems, yet its automatic evaluation remains limited. Existing evaluations often rely on human judgments or behav…

cs.CL2026

TRACE: Temporal Relationship-Aware Conversational Entrainment Detection in Dyadic Speech

Sathvik Manikantan Napa Ugandhar, Hao Zhang, Alison Gunzler +5

With the proliferation of speech AI agents, understanding emotional entrainment in conversational interaction has become increasingly important. Emotional entrainment is shaped by…

cs.CL2026

Reference-Based Prosody and Rhythm Evaluation for Spoken Dialogue Systems

Ashish Hallur, Thomas Thebaud, Georgi Tinchev +2

Speech-to-speech (S2S) AI agents are advancing rapidly, yet evaluation lacks interpretable speech-native measures for conversational prosody and rhythm. Because , speaking rat…

cs.CL2025

Spoken DialogSum: An Emotion-Rich Conversational Dataset for Spoken Dialogue Summarization

Yen-Ju Lu, Kunxiao Gao, Mingrui Liang +5

Recent audio language models can follow long conversations. However, research on emotion-aware or spoken dialogue summarization is constrained by the lack of data that links speech…

cs.CL2025

Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation

Yen-Ju Lu, Thomas Thebaud, Laureano Moro-Velazquez +2

We present Paired by the Teacher (PbT), a two-stage teacher-student pipeline that synthesizes accurate input-output pairs without human labels or parallel data. In many low-resourc…

cs.CL2025

Automatic Proficiency Assessment in L2 English Learners

Armita Mohammadi, Alessandro Lameiras Koerich, Laureano Moro-Velazquez +1

Second language proficiency (L2) in English is usually perceptually evaluated by English teachers or expert evaluators, with the inherent intra- and inter-rater variability. This p…

cs.CL2021

Beyond Isolated Utterances: Conversational Emotion Recognition

Raghavendra Pappagari, Piotr Żelasko, Jesús Villalba +2

Speech emotion recognition is the task of recognizing the speaker's emotional state given a recording of their utterance. While most of the current approaches focus on inferring em…