Special Issue on Automatic Speech Recognition

Chen, Lijiang

doi:10.3390/app13095389

Cited by 2 publications

(1 citation statement)

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“…Normal speaker can utter 150 to 200 words per minute but speakers with voice impairment can utter 15-25 words per minute. Dysarthria may affect phonation, breathing, prosody, articulation, resonance, and lip movement [1][2] [3]. It shows a larger variation in speech intelligibility.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of Automatic Dysarthric Speech Recognition

Pophale,

Chavan

2023

IJRITCC

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Automatic dysarthric speech recognition (DSR) is very crucial for many human computer interaction systems that enables the human to interact with machine in natural way. The objective of this paper is to analyze the literature survey of various Machine learning (ML) and deep learning (DL) based dysarthric speech recognition systems (DSR). This article presents a comprehensive survey of the recent advances in the automatic Dysarthric Speech Recognition (DSR) using machine learning and deep learning paradigms. It focuses on the methodology, database, evaluation metrics and major findings from the study of previous approaches.The proposed survey presents the various challenges related with DSR such as individual variability, limited training data, contextual understanding, articulation variability, vocal quality changes, and speaking rate variations.From the literature survey it provides the gaps between exiting work and previous work on DSR and provides the future direction for improvement of DSR.

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Section: Introductionmentioning

confidence: 99%