3 citations · 3 across the 5 of their papers we have counts for
5 papers
Peeking Into The Future For Contextual Biasing
Ramaneswaran Selvakumar, Cindy Tseng, Eesung Kim +2
While end-to-end (E2E) automatic speech recognition (ASR) models excel at general transcription, they struggle to recognize rare or unseen named entities (e.g., contact names, loca…
Enhanced Hybrid Transducer and Attention Encoder Decoder with Text Data
Yun Tang, Eesung Kim, Vijendra Raj Apsingekar
A joint speech and text optimization method is proposed for hybrid transducer and attention-based encoder decoder (TAED) modeling to leverage large amounts of text corpus and enhan…
Transducer Consistency Regularization for Speech to Text Applications
Cindy Tseng, Yun Tang, Vijendra Raj Apsingekar
Consistency regularization is a commonly used practice to encourage the model to generate consistent representation from distorted input features and improve model generalization.…
North America Bixby Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021
Myungjong Kim, Taeyeon Ki, Aviral Anshu +1
This paper describes the submission to the speaker diarization track of VoxCeleb Speaker Recognition Challenge 2021 done by North America Bixby Lab of Samsung Research America. Our…
X-Vectors with Multi-Scale Aggregation for Speaker Diarization
Myungjong Kim, Vijendra Raj Apsingekar, Divya Neelagiri
Speaker diarization is the process of labeling different speakers in a speech signal. Deep speaker embeddings are generally extracted from short speech segments and clustered to de…