Segment Specific Concatenation Cost for Syllable Based Bengali TTS. - N. P. Narendra; K. Sreenivasa Rao (IC3, 2011)

Development of syllable-based text to speech synthesis system in Bengali. - N. P. Narendra; K. Sreenivasa Rao; Krishnendu Ghosh; Vempada Ramu Reddy; Sudhamay Maity (Int. J. Speech Technol., 2011)

Syllable Specific Unit Selection Cost Functions for Text-to-Speech Synthesis. - N. P. Narendra; K. Sreenivasa Rao (ACM Trans. Speech Lang. Process., 2012)

An approach to complement electronics courses using virtual environment. - Jinu Jayachandran; Nina Joseph; Maheshwar Mangat; Vinay Verma; N. P. Narendra; Aniruddha Shastri; Devendra Patil; Madhumita Date; Joseph John; Mahesh B. Patil (EDUCON, 2013)

A syllable-based framework for unit selection synthesis in 13 Indian languages. - Hemant A. Patil; Tanvina B. Patel; Nirmesh J. Shah; Hardik B. Sailor; Raghava Krishnan; G. R. Kasthuri; T. Nagarajan 001; S. Lilly Christina; Naresh Kumar; Veera Raghavendra; S. Prahallad Kishore; S. R. Mahadeva Prasanna; et al. (O-COCOSDA/CASLRE, 2013)

Corpus Based Emotional Speech Synthesis in Hindi. - Ravi Kalyan Bhakat; N. P. Narendra; Krothapalli Sreenivasa Rao (PReMI, 2013)

Optimal weight tuning method for unit selection cost functions in syllable based text-to-speech synthesis. - N. P. Narendra; K. Sreenivasa Rao (Appl. Soft Comput., 2013)

Designing prosody rule-set for converting neutral TTS speech to storytelling style speech for Indian languages: Bengali, Hindi and Telugu. - Parakrant Sarkar; Arijul Haque; Arup Kumar Dutta; Gurunath Reddy M.; Harikrishna D. M.; Prasenjit Dhara; Rashmi Verma; N. P. Narendra; Sunil Kr. S. B.; Jainath Yadav; K. Sreenivasa Rao (IC3, 2014)

Optimal residual frame based source modeling for HMM-based speech synthesis. - N. P. Narendra; K. Sreenivasa Rao (ICAPR, 2015)

Automatic detection of creaky voice using epoch parameters. - N. P. Narendra; K. Sreenivasa Rao (INTERSPEECH, 2015)

Hybrid Source Modeling Method Utilizing Optimal Residual Frames for HMM-based Speech Synthesis. - N. P. Narendra; K. Sreenivasa Rao (MIKE, 2015)

Robust Voicing Detection and (F_{0} ) Estimation for HMM-Based Speech Synthesis. - N. P. Narendra; K. Sreenivasa Rao (Circuits Syst. Signal Process., 2015)

A deterministic plus noise model of excitation signal using principal component analysis for parametric speech synthesis. - N. P. Narendra; K. Sreenivasa Rao (ICASSP, 2016)

Time-domain deterministic plus noise model based hybrid source modeling for statistical parametric speech synthesis. - N. P. Narendra; K. Sreenivasa Rao (Speech Commun., 2016)

Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network. - N. P. Narendra; Manu Airaksinen; Paavo Alku (INTERSPEECH, 2017)

Generation of creaky voice for improving the quality of HMM-based speech synthesis. - N. P. Narendra; K. Sreenivasa Rao (Comput. Speech Lang., 2017)

Parameterization of Excitation Signal for Improving the Quality of HMM-Based Speech Synthesis System. - N. P. Narendra; K. Sreenivasa Rao (Circuits Syst. Signal Process., 2017)

Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences. - N. P. Narendra; Paavo Alku (INTERSPEECH, 2018)

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis - Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning - K. Sreenivasa Rao; N. P. Narendra (Springer, 2019)

Dysarthric speech classification from coded telephone speech using glottal features. - N. P. Narendra; Paavo Alku (Speech Commun., 2019)

Estimation of the glottal source from coded telephone speech using deep neural networks. - N. P. Narendra; Manu Airaksinen; Brad H. Story; Paavo Alku (Speech Commun., 2019)

Glottal Source Information for Pathological Voice Detection. - N. P. Narendra; Paavo Alku (IEEE Access, 2020)

Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels. - Krishna Gurugubelli; Anil Kumar Vuppala; N. P. Narendra; Paavo Alku (Speech Commun., 2020)

Automatic intelligibility assessment of dysarthric speech using glottal parameters. - N. P. Narendra; Paavo Alku (Speech Commun., 2020)

Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features. - N. P. Narendra; Paavo Alku (Comput. Speech Lang., 2021)

The Detection of Parkinson's Disease From Speech Using Voice Source Information. - N. P. Narendra; Björn W. Schuller; Paavo Alku (IEEE ACM Trans. Audio Speech Lang. Process., 2021)