Comparing the Benefit of Synthetic Training Data for Various Automatic
Speech Recognition Architectures

Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures

12 April 2021

Nick Rossenbach

Mohammad Zeineldeen

Benedikt Hilmes

Papers citing "Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures"

9 / 9 papers shown

Title
Augmenting Polish Automatic Speech Recognition System With Synthetic Data Łukasz Bondaruk Jakub Kubiak Mateusz Czyżnikiewicz 34 0 0 30 Oct 2024
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space Sebastião Quintas Isabelle Ferrané Thomas Pellegrini 28 0 0 19 Sep 2024
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition Nick Rossenbach Ralf Schluter S. Sakti 27 2 0 31 Jul 2024
On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures Nick Rossenbach Benedikt Hilmes Ralf Schluter 27 1 0 25 Jul 2024
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition Nick Rossenbach Benedikt Hilmes Ralf Schluter 8 3 0 12 Oct 2023
Text Generation with Speech Synthesis for ASR Data Augmentation Zhuangqun Huang Gil Keren Ziran Jiang Shashank Jain David Goss-Grubbs ... Antony DÁvirro Ethan Campbell-Taylor Jessie Salas Irina-Elena Veliche Xi Chen 11 6 0 22 May 2023
End-to-End Speech Recognition: A Survey Rohit Prabhavalkar Takaaki Hori Tara N. Sainath Ralf Schluter Shinji Watanabe VLM 26 148 0 03 Mar 2023
SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain Heli Qi Sashi Novitasari Andros Tjandra S. Sakti Satoshi Nakamura 11 3 0 08 Jan 2023
On Language Model Integration for RNN Transducer based Speech Recognition Wei Zhou Zuoyun Zheng Ralf Schluter Hermann Ney 29 22 0 13 Oct 2021