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Gradient Boost algorithms for Modelling Malayalam Poem Syllable Duration: Gradient Boost algorithms for Modelling Malayalam Poem Syllable Duration
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INFOCOMP Journal of …,
2022 |
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[2]
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Random Forest and AdaBoost-DT: Ensemble Machine Learning Estimators to Model Malayalam Poem Syllable Duration
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Soft Computing: Theories and …,
2022 |
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[3]
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Identification and Extraction of Features from Malayalam Poems for Analyzing Syllable Duration Patterns
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Transactions on Asian and Low-Resource …,
2021 |
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[4]
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Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques
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International Journal of Computer Applications,
2018 |
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[5]
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Prosody Detection from Text Using Aggregative Linguistic Features
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Smart and Innovative Trends in Next Generation Computing Technologies,
2017 |
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[6]
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Exploring robust spectral features for emotion recognition using statistical approaches
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2017 |
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[7]
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Speaker Identification and Time Scale Modification Using VOPs
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Speech Processing in Mobile Environments,
2014 |
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[8]
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Background and Literature Review
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Speech Processing in Mobile Environments,
2014 |
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[9]
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Spotting and Recognition of Consonant–Vowel Units from Continuous Speech
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Speech Processing in Mobile Environments,
2014 |
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[10]
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Consonant–Vowel Recognition in the Presence of Coding and Background Noise
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Speech Processing in Mobile Environments,
2014 |
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[11]
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Vowel Onset Point Detection from Coded and Noisy Speech
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Speech Processing in Mobile Environments,
2014 |
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[12]
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Speech Processing in Mobile Environments
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Springer International Publishing,
2014 |
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[13]
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Introduction
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Video coding standards,
2014 |
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[14]
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Summary and Conclusions
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Employment Relations in South Korea,
2014 |
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[15]
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Emotion Recognition Using Vocal Tract Information
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Emotion Recognition using Speech Features. Springer New York,
2013 |
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[16]
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SpringerBriefs in Electrical and Computer Engineering
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A Neustein - Springer,
2013 |
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[17]
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Emotion Recognition Using Excitation Source Information
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Emotion Recognition using Speech Features. Springer New York,
2013 |
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[18]
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Pitch synchronous and glottal closure based speech analysis for language recognition
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International Journal of Speech Technology,
2013 |
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[19]
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Speech Emotion Recognition: A Review
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Emotion Recognition using Speech Features. Springer New York,
2013 |
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[20]
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Emotion Recognition Using Prosodic Information
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motion Recognition using Speech Features. Springer New York,
2013 |
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[21]
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Prosody Modification
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Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York,
2012 |
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[22]
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Prosody Knowledge for Speech Systems: A Review
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Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York,
2012 |
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[23]
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Modeling Intonation
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Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York,
2012 |
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[24]
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Modeling Duration
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Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York,
2012 |
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[25]
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Analysis of Durations of Sound Units
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Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York,
2012 |
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[26]
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Practical Aspects of Prosody Modification
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Predicting Prosody from Text for Text-to-Speech Synthesis. Springer New York,
2012 |
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