Modular Hybrid Autoregressive Transducer

no code implementations • 31 Oct 2022 • Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno

In this work, we propose a modular hybrid autoregressive transducer (MHAT) that has structurally separated label and blank decoders to predict label and blank distributions, respectively, along with a shared acoustic encoder.

Language Modelling speech-recognition +1

Non-Parallel Voice Conversion for ASR Augmentation

no code implementations • 15 Sep 2022 • Gary Wang, Andrew Rosenberg, Bhuvana Ramabhadran, Fadi Biadsy, Yinghui Huang, Jesse Emond, Pedro Moreno Mengibar

For ASR augmentation, it is necessary that the VC model be robust to a wide range of input speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Language-agnostic Multilingual Modeling

no code implementations • 20 Apr 2020 • Arindrima Datta, Bhuvana Ramabhadran, Jesse Emond, Anjuli Kannan, Brian Roark

Multilingual Automated Speech Recognition (ASR) systems allow for the joint training of data-rich and data-scarce languages in a single model.

speech-recognition Speech Recognition +1