DeepAI
Log In Sign Up

Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec

01/26/2021
by   Jiatong Shi, et al.
0

"Transcription bottlenecks", created by a shortage of effective human transcribers are one of the main challenges to endangered language (EL) documentation. Automatic speech recognition (ASR) has been suggested as a tool to overcome such bottlenecks. Following this suggestion, we investigated the effectiveness for EL documentation of end-to-end ASR, which unlike Hidden Markov Model ASR systems, eschews linguistic resources but is instead more dependent on large-data settings. We open source a Yoloxóchitl Mixtec EL corpus. First, we review our method in building an end-to-end ASR system in a way that would be reproducible by the ASR community. We then propose a novice transcription correction task and demonstrate how ASR systems and novice transcribers can work together to improve EL documentation. We believe this combinatory methodology would mitigate the transcription bottleneck and transcriber shortage that hinders EL documentation.

READ FULL TEXT

page 1

page 2

page 3

page 4

06/15/2020

Exploration of End-to-End ASR for OpenSTT – Russian Open Speech-to-Text Dataset

This paper presents an exploration of end-to-end automatic speech recogn...
05/31/2021

CrossASR++: A Modular Differential Testing Framework for Automatic Speech Recognition

Developers need to perform adequate testing to ensure the quality of Aut...
01/21/2021

Arabic Speech Recognition by End-to-End, Modular Systems and Human

Recent advances in automatic speech recognition (ASR) have achieved accu...
10/18/2019

End-to-End Speech Recognition: A review for the French Language

Recently, end-to-end ASR based either on sequence-to-sequence networks o...
02/25/2022

Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR

Despite the fact that variation is a fundamental characteristic of natur...
10/26/2022

End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English

Automation of on-call customer support relies heavily on accurate and ef...
07/08/2019

ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning

End-to-end automatic speech recognition (ASR) models are increasingly la...