German Phoneme Recognition with Text-to-Phoneme Data Augmentation

11/24/2022
by   Dojun Park, et al.
0

In this study, we experimented to examine the effect of adding the most frequent n phoneme bigrams to the basic vocabulary on the German phoneme recognition model using the text-to-phoneme data augmentation strategy. As a result, compared to the baseline model, the vowel30 model and the const20 model showed an increased BLEU score of more than 1 point, and the total30 model showed a significant decrease in the BLEU score of more than 20 points, showing that the phoneme bigrams could have a positive or negative effect on the model performance. In addition, we identified the types of errors that the models repeatedly showed through error analysis.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/17/2023

2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022

We present the results and findings of the 2nd Swiss German speech to St...
research
12/02/2022

Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22

This paper describes the system developed at the Universitat Politècnica...
research
07/01/2022

Swiss German Speech to Text system evaluation

We present an in-depth evaluation of four commercially available Speech-...
research
04/21/2021

Disfluency Detection with Unlabeled Data and Small BERT Models

Disfluency detection models now approach high accuracy on English text. ...
research
06/30/2019

The University of Sydney's Machine Translation System for WMT19

This paper describes the University of Sydney's submission of the WMT 20...
research
04/04/2023

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification

Modern data augmentation using a mixture-based technique can regularize ...
research
06/08/2021

Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation

Answering a programming question using only its title is difficult as sa...

Please sign up or login with your details

Forgot password? Click here to reset