Text-dependent speaker verification using classical LBG, adaptive LBG and FCM vector quantization

Soni, Badal; Debnath, Saswati; Das, Pradip K.

doi:10.1007/s10772-016-9346-4

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…This shape determines what type of sound will produce. The shape of the vocal tract is represented in the envelope of the short-time power spectrum and the job of MFCCs (Davis & Mermelstein, 1980;Soni et al, 2016) is to represent this envelope. Olivan et al (2021) proposed a deep learning-based scheme along with mel-spectogram to detect music boundary.…”

Section: Audio Feature Extraction Using Mfccmentioning

confidence: 99%

RETRACTED ARTICLE: Audio-Visual Automatic Speech Recognition Towards Education for Disabilities

Debnath

Roy

Namasudra

et al. 2022

J Autism Dev Disord

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Education is a fundamental right that enriches everyone's life. However, physically challenged people often debar from the general and advanced education system. Audio-Visual Automatic Speech Recognition (AV-ASR) based system is useful to improve the education of physically challenged people by providing hands-free computing. They can communicate to the learning system through AV-ASR. However, it is challenging to trace the lip correctly for visual modality. Thus, this paper addresses the appearance-based visual feature along with the co-occurrence statistical measure for visual speech recognition. Local Binary Pattern-Three Orthogonal Planes (LBP-TOP) and Grey-Level Co-occurrence Matrix (GLCM) is proposed for visual speech information. The experimental results show that the proposed system achieves 76.60 % accuracy for visual speech and 96.00 % accuracy for audio speech recognition.

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Section: Audio Feature Extraction Using Mfccmentioning

confidence: 99%

RETRACTED ARTICLE: Audio-Visual Automatic Speech Recognition Towards Education for Disabilities

Debnath

Roy

Namasudra

et al. 2022

J Autism Dev Disord

Self Cite

View full text Add to dashboard Cite

show abstract

“…The kernel is utilized in a batch mode active learning method to recognize the informative and diverse examples via a min-max framework. Image processing applications are given in [42][43][44].…”

Section: • Image Processingmentioning

confidence: 99%

In Depth Analysis, Applications and Future Issues of Artificial Neural Network

Soni

Mathur

Bora

2020

Enabling AI Applications in Data Science

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“…The man-made machines for document classification can now perform even better than man himself and hence its use in broader domains will keep enhancing with time. Image and Speech processing based applications have been discussed in [13][14][15].…”

Section: Literature Surveymentioning

confidence: 99%

An Automatic Classification of Genetic Mutations by Exploring Different Classifiers

Soni

Devi

Bora

2020

Enabling AI Applications in Data Science

Self Cite

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Text-dependent speaker verification using classical LBG, adaptive LBG and FCM vector quantization

Cited by 9 publications

References 25 publications

RETRACTED ARTICLE: Audio-Visual Automatic Speech Recognition Towards Education for Disabilities

RETRACTED ARTICLE: Audio-Visual Automatic Speech Recognition Towards Education for Disabilities

In Depth Analysis, Applications and Future Issues of Artificial Neural Network

An Automatic Classification of Genetic Mutations by Exploring Different Classifiers

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