AI Chat AI Image Generator AI Video Text to Speech

Automatic Speech recognition for Speech Assessment of Preschool Children

03/24/2022

∙

by Amirhossein Abaskohi, et al.

∙

∙

The acoustic and linguistic features of preschool speech are investigated in this study to design an automated speech recognition (ASR) system. Acoustic fluctuation has been highlighted as a significant barrier to developing high-performance ASR applications for youngsters. Because of the epidemic, preschool speech assessment should be conducted online. Accordingly, there is a need for an automatic speech recognition system. We were confronted with new challenges in our cognitive system, including converting meaningless words from speech to text and recognizing word sequence. After testing and experimenting with several models we obtained a 3.1% phoneme error rate in Persian. Wav2Vec 2.0 is a paradigm that could be used to build a robust end-to-end speech recognition system.

Amirhossein Abaskohi
5 publications
Fatemeh Mortazavi
1 publication
Hadi Moradi
19 publications

research

∙ 06/17/2019

Advancing Speech Recognition With No Speech Or With Noisy Speech

In this paper we demonstrate end to end continuous speech recognition (C...

0 Gautam Krishna, et al. ∙

research

∙ 09/12/2023

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults

Recent advancements in Automatic Speech Recognition (ASR) systems, exemp...

0 Ahmed Adel Attia, et al. ∙

research

∙ 04/07/2020

Homophone-based Label Smoothing in End-to-End Automatic Speech Recognition

A new label smoothing method that makes use of prior knowledge of a lang...

0 Yi Zheng, et al. ∙

research

∙ 09/16/2021

Utterance-level neural confidence measure for end-to-end children speech recognition

Confidence measure is a performance index of particular importance for a...

0 Wei Liu, et al. ∙

research

∙ 02/20/2023

A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker One

Although automatic speech recognition (ASR) can perform well in common n...

0 Lingwei Meng, et al. ∙

research

∙ 05/19/2020

Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition

Knowledge distillation has been widely used to compress existing deep le...

0 Yan Gao, et al. ∙

research

∙ 11/01/2019

Predicting word error rate for reverberant speech

Reverberation negatively impacts the performance of automatic speech rec...

0 Hannes Gamper, et al. ∙