Robust Automatic Speech Recognition System for the Recognition of Continuous Kannada Speech Sentences in the Presence of Noise

Mahadevaswamy,

doi:10.1007/s11277-023-10371-x

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article3

Other1

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Robust Perceptual Wavelet Packet Features for the Recognition of Spontaneous Kannada Sentences

Shanthamallappa,

Ravi

2023

Wireless Pers Commun

View full text Add to dashboard Cite

Robust Perceptual Wavelet Packet Features for the Recognition of Spontaneous Kannada Sentences

Shanthamallappa,

Ravi

2023

Wireless Pers Commun

View full text Add to dashboard Cite

Robust Speech Enhancement Using Dabauchies Wavelet Based Adaptive Wavelet Thresholding for the Development of Robust Automatic Speech Recognition: A Comprehensive Review

Shanthamallappa

2024

Wireless Pers Commun

View full text Add to dashboard Cite

This paper gives a comprehensive introduction about speech production and perception in Human beings, discusses the challenges and applications, frame work of Automatic Speech Recognition(ASR) systems, and provides the detailed description about the architecture of ASR. The paper highlights the problem de nition, general objectives, scope of ASR research. The work provides meticulous review about the baseline ASR systems and indicates the need for research in ASR. A methodical way of designing a speech corpus for Indian languages is presented in this paper. Finally wavelet based Thresholding techniques are utilized to process the designed speech corpus. The experiments are carried out on the Kannada speech corpus consisting of continuous sentences and results are compared with those obtained on the bench marking TIMIT dataset. The results convey that the Proposed method performs better for both the databases for various SNR conditions.

show abstract

Robust Automatic Speech Recognition Using Wavelet-Based Adaptive Wavelet Thresholding: A Review

Shanthamallappa,

Puttegowda,

Hullahalli Nannappa

et al. 2024

SN COMPUT. SCI.

View full text Add to dashboard Cite

Robust Automatic Speech Recognition System for the Recognition of Continuous Kannada Speech Sentences in the Presence of Noise

Cited by 4 publications

References 42 publications

Robust Perceptual Wavelet Packet Features for the Recognition of Spontaneous Kannada Sentences

Robust Perceptual Wavelet Packet Features for the Recognition of Spontaneous Kannada Sentences

Robust Speech Enhancement Using Dabauchies Wavelet Based Adaptive Wavelet Thresholding for the Development of Robust Automatic Speech Recognition: A Comprehensive Review

Robust Automatic Speech Recognition Using Wavelet-Based Adaptive Wavelet Thresholding: A Review

Contact Info

Product

Resources

About