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Usage of Prosody Modification and Acoustic Adaptation for Robust Automatic Speech Recognition (ASR) System

Vivek Bhardwaj, +2 more
- Vol. 35, Iss: 3, pp 235-242
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The article was published on 2021-06-30 and is currently open access. It has received 4 citations till now. The article focuses on the topics: Prosody.

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Journal ArticleDOI

Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review

TL;DR: A systematic literature review (SLR) is presented in this article by extracting the relevant information from 76 research papers published from 2009 to 2020 in the field of ASR for children.
Proceedings ArticleDOI

Forecasting of Precipitation in India by Different Data Types using Investigation of Radial Basis Function Neural Network Model

TL;DR: In this paper, the Radial Basis Function Neural Network Model with back propagation algorithm was used to forecast the predication of rainfall for the state of Punjab, India in 2015.
Proceedings ArticleDOI

Analysis and Prediction of Stock Market Movements using Machine learning

TL;DR: In this paper , the authors analyze the historical data of some stock market companies between certain time periods and perform analysis by using a data science algorithm and check the accuracy of predictions, and then the prediction results are compared with other algorithms and the best possible algorithm is selected.
Proceedings ArticleDOI

an automated speech recognition system for phonological awareness of kindergarten students in filipino

TL;DR: In this article , a Gaussian Mixture Model Hidden Markov Model (GMM-HMM) based automated speech recognizer with pitch prosody-based data augmentation and vocal tract length normalization for children's phonological awareness skill training and assessment was implemented.
References
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Proceedings Article

The Kaldi Speech Recognition Toolkit

TL;DR: The design of Kaldi is described, a free, open-source toolkit for speech recognition research that provides a speech recognition system based on finite-state automata together with detailed documentation and a comprehensive set of scripts for building complete recognition systems.
Journal ArticleDOI

Acoustics of children's speech: developmental changes of temporal and spectral parameters.

TL;DR: The results confirm that the reduction in magnitude and within-subject variability of both temporal and spectral acoustic parameters with age is a major trend associated with speech development in normal children, and support the hypothesis of uniform axial growth of the vocal tract for male speakers.
Journal ArticleDOI

Shape invariant time-scale and pitch modification of speech

TL;DR: A time-scale modification system that preserves shape-invariant joint time- scale and pitch modification during voicing is developed using a version of the sinusoidal analysis-synthesis system that models and independently modifies the phase contributions of the vocal tract and vocal cord excitation.
Journal ArticleDOI

Prosody modification using instants of significant excitation

TL;DR: The proposed method for prosody (pitch and duration) modification using the instants of significant excitation of the vocal tract system during the production of speech is compared with linear prediction pitch synchronous overlap and add (LP-PSOLA) method.

Improving speech recognition for children using acoustic adaptation and pronunciation modeling.

TL;DR: This paper presents a preliminary study towards better acoustic modeling, pronunciation modeling and front-end processing for children’s speech, and introduction of pronunciation modeling shows promising performance improvements.