Ankur Gandhe

Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition

2023 · arXiv (Cornell University)

Attention-based contextual biasing approaches have shown significant improvements in the recognition of generic and/or personal rare-words in End-to-End Automatic Speech Recognition (E2E ASR) systems like neural transducers. These approaches employ cross-attention to bias the model …

Speech Recognition Rescoring with Large Speech-Text Foundation Models

2025

Large language models (LLM) have demonstrated the ability to understand human language by leveraging large amount of text data. Automatic speech recognition (ASR) systems are often limited by available transcribed speech data and benefit from …