activity
20152026
most citedASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

18 citations · 63 across the 57 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

eess.AS2021

Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding

Saurabhchand Bhati, Jesús Villalba, Piotr Żelasko +2

Typically, unsupervised segmentation of speech into the phone and word-like units are treated as separate tasks and are often done via different methods which do not fully leverage…

eess.AS202111 cited

The JHU submission to VoxSRC-21: Track 3

Jejin Cho, Jesus Villalba, Najim Dehak

This technical report describes Johns Hopkins University speaker recognition system submitted to Voxceleb Speaker Recognition Challenge 2021 Track 3: Self-supervised speaker verifi…

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…

cs.CL2021

Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios

Raghavendra Pappagari, Piotr Żelasko, Agnieszka Mikołajczyk +2

Capitalization and punctuation are important cues for comprehending written texts and conversational transcripts. Yet, many ASR systems do not produce punctuated and case-formatted…

eess.AS2021

Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems

Jesús Villalba, Sonal Joshi, Piotr Żelasko +1

Adversarial attacks have become a major threat for machine learning applications. There is a growing interest in studying these attacks in the audio domain, e.g, speech and speaker…

cs.CL2021

What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition

Piotr Żelasko, Raghavendra Pappagari, Najim Dehak

Dialog acts can be interpreted as the atomic units of a conversation, more fine-grained than utterances, characterized by a specific communicative function. The ability to structur…