23 citations · 33 across the 16 of their papers we have counts for
7 papers · 1 filter
CoLMbo-SV: A Grounded Language Model for Explainable Speaker Verification
Massa Baali, Sarthak Bisht, Ziyue Qiu +3
Speaker verification systems achieve high accuracy but provide little account of the acoustic evidence behind their judgments. Making these systems inspectable requires exposing in…
FA-Bench: A Benchmark for Phone- and Word-Level Timestamp Accuracy in Forced Alignment and ASR on Clean and Noisy Speech
Wei Chu, Yuanzhe Dong, Ke Tan +11
Forced alignment estimates the timestamps of each word, phone or character in speech given its transcript. Published comparisons normalize transcripts, split the data and match bou…
Inquesto Score: A reliability Protocol For Voice Agents
Massa Baali, Bhiksha Raj
Voice agents are increasingly deployed in workflows where failed interactions can affect transactions, access, and other consequential outcomes, creating a need for reproducible an…
AcoustiClaim: A Numeric Claim Benchmark with Instrument Ground Truth
Sheng-Tse Lin, Siyuan Zhai, Chien-Liang Kuo +2
Audio language models state numbers for acoustic quantities, and neither human opinion nor a judge model says whether such a number is true of the signal. AcoustiClaim extracts eac…
Audio Language Model for Deepfake Detection Grounded in Acoustic Chain-of-Thought
Runkun Chen, Yixiong Fang, Pengyu Chang +3
Deepfake speech detection systems are often limited to binary classification tasks and struggle to generate interpretable reasoning or provide context-rich explanations for their d…
What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verification
Massa Baali, Sarthak Bisht, Rita Singh +1
Speaker verification at large scale remains an open challenge as fixed-margin losses treat all samples equally regardless of quality. We hypothesize that mislabeled or degraded sam…
VerLM: Explaining Face Verification Using Natural Language
Syed Abdul Hannan, Hazim Bukhari, Thomas Cantalapiedra +4
Face verification systems have seen substantial advancements; however, they often lack transparency in their decision-making processes. In this paper, we introduce an innovative Vi…