132 citations · 234 across the 20 of their papers we have counts for
21 papers · 1 filter
I4U System Description for NIST SRE'20 CTS Challenge
Kong Aik Lee, Tomi Kinnunen, Daniele Colibro +23
This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge. The I4U's submission was resu…
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs
Ruijie Tao, Kong Aik Lee, Rohan Kumar Das +2
We study a novel neural architecture and its training strategies of speaker encoder for speaker recognition without using any identity labels. The speaker encoder is trained to ext…
Significance of Data Augmentation for Improving Cleft Lip and Palate Speech Recognition
Protima Nomo Sudro, Rohan Kumar Das, Rohit Sinha +1
The automatic recognition of pathological speech, particularly from children with any articulatory impairment, is a challenging task due to various reasons. The lack of available d…
Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection
Ruijie Tao, Zexu Pan, Rohan Kumar Das +3
Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or more speakers. The successful ASD depends on accurate interpretation of short-term and lo…
Data Augmentation with Signal Companding for Detection of Logical Access Attacks
Rohan Kumar Das, Jichen Yang, Haizhou Li
The recent advances in voice conversion (VC) and text-to-speech (TTS) make it possible to produce natural sounding speech that poses threat to automatic speaker verification (ASV)…
Enhancing the Intelligibility of Cleft Lip and Palate Speech using Cycle-consistent Adversarial Networks
Protima Nomo Sudro, Rohan Kumar Das, Rohit Sinha +1
Cleft lip and palate (CLP) refer to a congenital craniofacial condition that causes various speech-related disorders. As a result of structural and functional deformities, the affe…