G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR

22 October 2019

Papers citing "G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR"

6 / 6 papers shown

Title
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation Ruizhe Huang M. Yarmohammadi Sanjeev Khudanpur Dan Povey 33 2 0 14 Jul 2024
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization Zhihong Lei Ernest Pusateri Shiyi Han Leo Liu Mingbin Xu ... R. Travadi Youyuan Zhang Mirko Hannemann Man-Hung Siu Zhen Huang 23 9 0 16 Oct 2023
From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition Colin S. Lea Zifang Huang Lauren Tooley Jaya Narain Dianna Yee P. Georgiou Dung Tien Tran Jeffrey P. Bigham Leah Findlater 24 31 0 17 Feb 2023
Towards Personalization of CTC Speech Recognition Models with Contextual Adapters and Adaptive Boosting Saket Dingliwal Monica Sunkara S. Bodapati S. Ronanki Jeffrey J. Farris Katrin Kirchhoff 25 0 0 18 Oct 2022
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion Duc Le Mahaveer Jain Gil Keren Suyoun Kim Yangyang Shi ... Yuan Shangguan Christian Fuegen Ozlem Kalinli Yatharth Saraf M. Seltzer 27 90 0 05 Apr 2021
Deep Shallow Fusion for RNN-T Personalization Duc Le Gil Keren Julian Chan Jay Mahadeokar Christian Fuegen M. Seltzer 21 77 0 16 Nov 2020