Can I read Attention based end to end Speech Recognition for Voice Search in Hindi and English on EtoBox?

Attention based end to end Speech Recognition for Voice Search in Hindi and English by Joshi, Raviraj; Kannan, Venkateshan is a scholarly article available to read on EtoBox.

What is Attention based end to end Speech Recognition for Voice Search in Hindi and English about?

We describe here our work with automatic speech recognition (ASR) in the context of voice search functionality on the Flipkart e-Commerce platform. Starting with the deep learning architecture of Listen-Attend-Spell (LAS), we build upon and expand the model design and attention mechanisms to incorporate innovative approaches including multi-objective training, multi-pass training, and external rescoring using language models and phoneme based losses. We report a relative WER improvement of 15.7% on top of state-of-the-art LAS models using these modifications. Overall, we report an improvement of 36.9% over the phoneme-CTC system. The paper also provides an overview of different components that can be tuned in a LAS-based system.

Author

Joshi, Raviraj; Kannan, Venkateshan

Published

2021

Language

EN