3 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
G-IFT: A Gated Linear Unit adapter with Iterative Fine-Tuning for Low-Resource Children's Speaker Verification
Vishwas M. Shetty, Jiusi Zheng, Abeer Alwan
Speaker Verification (SV) systems trained on adults speech often underperform on children's SV due to the acoustic mismatch, and limited children speech data makes fine-tuning not…
An Age-Agnostic System for Robust Speaker Verification
Jiusi Zheng, Vishwas Shetty, Natarajan Balaji Shankar +1
In speaker verification (SV), the acoustic mismatch between children's and adults' speech leads to suboptimal performance when adult-trained SV systems are applied to children's sp…
Enhancing Age-Related Robustness in Children Speaker Verification
Vishwas M. Shetty, Jiusi Zheng, Steven M. Lulich +1
One of the main challenges in children's speaker verification (C-SV) is the significant change in children's voices as they grow. In this paper, we propose two approaches to improv…
Investigation of Speaker-adaptation methods in Transformer based ASR
Vishwas M. Shetty, Metilda Sagaya Mary N J, S. Umesh
End-to-end models are fast replacing the conventional hybrid models in automatic speech recognition. Transformer, a sequence-to-sequence model, based on self-attention popularly us…