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K. Sreenivasa Rao
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- affiliation: Indian Institute of Technology Kharagpur, West Bengal, India
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2020 – today
- 2024
- [j96]Priya Dharshini G, K. Sreenivasa Rao:
Transfer Accent Identification Learning for Enhancing Speech Emotion Recognition. Circuits Syst. Signal Process. 43(8): 5090-5120 (2024) - [j95]Arijul Haque, Krothapalli Sreenivasa Rao:
Speech emotion recognition with transfer learning and multi-condition training for noisy environments. Int. J. Speech Technol. 27(2): 353-365 (2024) - [j94]Arijul Haque, K. Sreenivasa Rao:
Hierarchical emotion recognition from speech using source, power spectral and prosodic features. Multim. Tools Appl. 83(7): 19629-19661 (2024) - [j93]Abhijit Debnath, K. Sreenivasa Rao, Partha Pratim Das:
A multi-modal lecture video indexing and retrieval framework with multi-scale residual attention network and multi-similarity computation. Signal Image Video Process. 18(3): 1993-2006 (2024) - [j92]Yagnavajjula Madhu Keerthana, Mittapalle Kiran Reddy, Paavo Alku
, K. Sreenivasa Rao, Pabitra Mitra:
Automatic classification of neurological voice disorders using wavelet scattering features. Speech Commun. 157: 103040 (2024) - [i17]Shalika Kumbham, Abhijit Debnath, Krothapalli Sreenivasa Rao:
Efficient Indexing of Meta-Data (Extracted from Educational Videos). CoRR abs/2401.01356 (2024) - [i16]Debopriyo Banerjee, Krothapalli Sreenivasa Rao, Shamik Sural, Niloy Ganguly:
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping. CoRR abs/2402.16660 (2024) - [i15]Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra:
MLSD-GAN - Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement. CoRR abs/2404.12679 (2024) - [i14]Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra, Vinod Rathod:
Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection. CoRR abs/2406.13384 (2024) - 2023
- [j91]P. Sudhakar
, K. Sreenivasa Rao, Pabitra Mitra:
Unsupervised spoken term discovery using pseudo lexical induction. Int. J. Speech Technol. 26(3): 801-816 (2023) - [j90]Priya Dharshini G, K. Sreenivasa Rao:
Accent classification from an emotional speech in clean and noisy environments. Multim. Tools Appl. 82(3): 3485-3508 (2023) - [j89]P. Sudhakar
, K. Sreenivasa Rao, Pabitra Mitra:
A Novel Zero-Resource Spoken Term Detection Using Affinity Kernel Propagation with Acoustic Feature Map. SN Comput. Sci. 4(3): 310 (2023) - [c84]P. N. Aravinda Reddy
, K. Sreenivasa Rao
, Raghavendra Ramachandra
, Pabitra Mitra
:
ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping. CVIP (1) 2023: 219-230 - [c83]Abhijit Debnath, K. Sreenivasa Rao, Partha Pratim Das:
Similarity-based Multi-Modal Lecture Video Indexing and Retrieval with Deep Learning. ICCCNT 2023: 1-7 - [c82]P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra:
Self-Paced Pattern Augmentation for Spoken Term Detection in Zero-Resource. INTERSPEECH 2023: 1618-1622 - [c81]Saikat Biswas
, Koushiki Dasgupta Chaudhuri, Pabitra Mitra, Krothapalli Sreenivasa Rao:
Relation Predictions in Comorbid Disease Centric Knowledge Graph Using Heterogeneous GNN Models. IWBBIO (2) 2023: 343-356 - [c80]P. Sudhakar
, K. Sreenivasa Rao
, Pabitra Mitra
:
Unsupervised Discovery of Recurring Spoken Terms Using Diagonal Patterns. PReMI 2023: 61-69 - [i13]Aravinda Reddy P. N, K. Sreenivasa Rao, Raghavendra Ramachandra, Pabitra Mitra:
ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping. CoRR abs/2310.12736 (2023) - 2022
- [j88]Kishore Kumar Ravi, K. Sreenivasa Rao:
A novel approach to unsupervised pattern discovery in speech using Convolutional Neural Network. Comput. Speech Lang. 71: 101259 (2022) - [j87]Kishore Kumar Ravi, Krothapalli Sreenivasa Rao:
Phoneme Segmentation-Based Unsupervised Pattern Discovery and Clustering of Speech Signals. Circuits Syst. Signal Process. 41(4): 2088-2117 (2022) - [j86]Kumud Tripathi
, K. Sreenivasa Rao:
CycleGAN-Based Speech Mode Transformation Model for Robust Multilingual ASR. Circuits Syst. Signal Process. 41(9): 5283-5305 (2022) - [j85]Kumud Tripathi
, K. Sreenivasa Rao:
Correction to: CycleGAN-Based Speech Mode Transformation Model for Robust Multilingual ASR. Circuits Syst. Signal Process. 41(9): 5306 (2022) - [j84]Yagnavajjula Madhu Keerthana
, K. Sreenivasa Rao, Pabitra Mitra:
Dysarthric speech detection from telephone quality speech using epoch-based pitch perturbation features. Int. J. Speech Technol. 25(4): 967-973 (2022) - [j83]Kumud Tripathi
, K. Sreenivasa Rao:
VOP detection for read and conversation speech using CWT coefficients and phone boundaries. J. Ambient Intell. Humaniz. Comput. 13(1): 105-116 (2022) - [c79]Soumen Paul
, Rounak Saha
, Swarup Padhi
, Srijoni Majumdar
, Partha Pratim Das
, K. Sreenivasa Rao
:
NrityaManch: An Annotation and Retrieval System for Bharatanatyam Dance. FIRE 2022: 65-73 - [i12]Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das:
Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review. CoRR abs/2202.01078 (2022) - 2021
- [j82]Hareesh Mandalapu
, Aravinda Reddy P. N, Raghavendra Ramachandra
, Krothapalli Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch
:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. IEEE Access 9: 37431-37455 (2021) - [j81]Hareesh Mandalapu
, Aravinda Reddy P. N, Raghavendra Ramachandra
, Krothapalli Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch
:
Multilingual Audio-Visual Smartphone Dataset and Evaluation. IEEE Access 9: 153240-153257 (2021) - [j80]Pradeep Rengaswamy
, Gurunath Reddy M., K. Sreenivasa Rao, Pallab Dasgupta:
hf0: A Hybrid Pitch Extraction Method for Multimodal Voice. Circuits Syst. Signal Process. 40(1): 262-275 (2021) - [j79]Pradeep Rengaswamy
, K. Sreenivasa Rao, Pallab Dasgupta:
SongF0: A Spectrum-Based Fundamental Frequency Estimation for Monophonic Songs. Circuits Syst. Signal Process. 40(2): 772-797 (2021) - [j78]G. Sreeram, S. Pradeep, K. Sreenivasa Rao, B. Deevana Raju, Nikhat Parveen
:
Moving ridge neuronal espionage network simulation for reticulum invasion sensing. Int. J. Pervasive Comput. Commun. 17(1): 64-77 (2021) - [j77]Nirmalya Sen, Md. Sahidullah, Hemant A. Patil, Shyamal Kumar Das Mandal, Krothapalli Sreenivasa Rao, Tapan Kumar Basu:
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework. Int. J. Speech Technol. 24(4): 1067-1088 (2021) - [j76]Kumud Tripathi
, K. Sreenivasa Rao:
Robust vowel region detection method for multimode speech. Multim. Tools Appl. 80(9): 13615-13637 (2021) - [j75]K. E. Manjunath, Srinivasa Raghavan K. M., K. Sreenivasa Rao, Dinesh Babu Jayagopi, V. Ramasubramanian:
Approaches for Multilingual Phone Recognition in Code-switched and Non-code-switched Scenarios Using Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(4): 55:1-55:19 (2021) - [j74]Saikat Biswas
, Pabitra Mitra, Krothapalli Sreenivasa Rao:
Relation Prediction of Co-Morbid Diseases Using Knowledge Graph Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 708-717 (2021) - [c78]Soumava Paul, Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das:
Knowledge Distillation for Singing Voice Detection. Interspeech 2021: 4159-4163 - [i11]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. CoRR abs/2101.09725 (2021) - [i10]Nirmalya Sen, Md. Sahidullah, Hemant A. Patil, Shyamal Kumar Das Mandal, Krothapalli Sreenivasa Rao, Tapan Kumar Basu:
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework. CoRR abs/2105.11728 (2021) - [i9]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Multilingual Audio-Visual Smartphone Dataset And Evaluation. CoRR abs/2109.04138 (2021) - 2020
- [j73]Mittapalle Kiran Reddy
, Paavo Alku
, Krothapalli Sreenivasa Rao:
Detection of Specific Language Impairment in Children Using Glottal Source Features. IEEE Access 8: 15273-15279 (2020) - [j72]Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
Excitation modelling using epoch features for statistical parametric speech synthesis. Comput. Speech Lang. 60 (2020) - [j71]Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
DNN-Based Cross-Lingual Voice Conversion Using Bottleneck Features. Neural Process. Lett. 51(2): 2029-2042 (2020) - [j70]Pradeep Rengaswamy, Mittapalle Kiran Reddy
, Krothapalli Sreenivasa Rao, Pallab Dasgupta:
Robust f0 extraction from monophonic signals using adaptive sub-band filtering. Speech Commun. 116: 77-85 (2020) - [j69]Kumud Tripathi
, Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
Multilingual and multimode phone recognition system for Indian languages. Speech Commun. 119: 12-23 (2020) - [j68]Harikrishna D. M.
, K. Sreenivasa Rao:
Children's Story Classification in Indian Languages Using Linguistic and Keyword-based Features. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 30:1-30:22 (2020) - [j67]Debopriyo Banerjee
, Krothapalli Sreenivasa Rao, Shamik Sural, Niloy Ganguly:
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping. ACM Trans. Intell. Syst. Technol. 11(6): 69:1-69:28 (2020) - [c77]Gurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das:
Glottal Closure Instants Detection from EGG Signal by Classification Approach. INTERSPEECH 2020: 4891-4895 - [c76]Kumud Tripathi
, K. Sreenivasa Rao:
Multilingual speech mode classification model for Indian languages. NCC 2020: 1-6 - [i8]Soumava Paul, Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das:
Knowledge Distillation for Singing Voice Detection. CoRR abs/2011.04297 (2020)
2010 – 2019
- 2019
- [b5]K. Sreenivasa Rao, N. P. Narendra:
Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis - Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning. Springer 2019, ISBN 978-3-030-02758-2, pp. 1-129 - [j66]R. Pradeep, Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
LSTM-Based Robust Voicing Decision Applied to DNN-Based Speech Synthesis. Autom. Control. Comput. Sci. 53(4): 328-332 (2019) - [j65]R. Pradeep
, K. Sreenivasa Rao:
Incorporation of Manner of Articulation Constraint in LSTM for Speech Recognition. Circuits Syst. Signal Process. 38(8): 3482-3500 (2019) - [j64]K. E. Manjunath, Dinesh Babu Jayagopi
, K. Sreenivasa Rao, V. Ramasubramanian
:
Development and analysis of multilingual phone recognition systems using Indian languages. Int. J. Speech Technol. 22(1): 157-168 (2019) - [j63]Yagnavajjula Madhu Keerthana
, Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
CWT-Based Approach for Epoch Extraction From Telephone Quality Speech. IEEE Signal Process. Lett. 26(8): 1107-1111 (2019) - [c75]Gurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das:
Glottal Closure Instants Detection from Speech Signal by Deep Features Extracted from Raw Speech and Linear Prediction Residual. INTERSPEECH 2019: 156-160 - [i7]Pradeep Rengaswamy, Gurunath Reddy M., Krothapalli Sreenivasa Rao:
hf0: A hybrid pitch extraction method for multimodal voice. CoRR abs/1904.09765 (2019) - [i6]Kumud Tripathi, K. Sreenivasa Rao:
VOP Detection for Read and Conversation Speech using CWT Coefficients and Phone Boundaries. CoRR abs/1908.08668 (2019) - [i5]Kumud Tripathi, Mittapalle Kiran Reddy, K. Sreenivasa Rao:
Multilingual and Multimode Phone Recognition System for Indian Languages. CoRR abs/1908.09634 (2019) - [i4]Mittapalle Kiran Reddy, K. Sreenivasa Rao:
DNN-based cross-lingual voice conversion using Bottleneck Features. CoRR abs/1909.03974 (2019) - 2018
- [j62]K. E. Manjunath, K. Sreenivasa Rao:
Improvement of Phone Recognition Accuracy Using Articulatory Features. Circuits Syst. Signal Process. 37(2): 704-728 (2018) - [j61]Gurunath Reddy M., K. Sreenivasa Rao:
Predominant Melody Extraction from Vocal Polyphonic Music Signal by Time-Domain Adaptive Filtering-Based Method. Circuits Syst. Signal Process. 37(7): 2911-2933 (2018) - [j60]Mittapalle Kiran Reddy
, Krothapalli Sreenivasa Rao:
Inverse filter based excitation model for HMM-based speech synthesis system. IET Signal Process. 12(4): 544-548 (2018) - [j59]Jainath Yadav, K. Sreenivasa Rao:
Neural network and GMM based feature mappings for consonant-vowel recognition in emotional environment. Int. J. Speech Technol. 21(3): 421-433 (2018) - [j58]Kumud Tripathi
, K. Sreenivasa Rao:
Improvement of phone recognition accuracy using speech mode classification. Int. J. Speech Technol. 21(3): 489-500 (2018) - [j57]Arup Kumar Dutta, K. Sreenivasa Rao:
Language identification using phase information. Int. J. Speech Technol. 21(3): 509-519 (2018) - [j56]Prasenjit Dhara, K. Sreenivasa Rao:
Automatic note transcription system for Hindustani classical music. Int. J. Speech Technol. 21(4): 987-1003 (2018) - [j55]Kishore Kumar Ravi, Lokendra Birla
, K. Sreenivasa Rao:
A robust unsupervised pattern discovery and clustering of speech signals. Pattern Recognit. Lett. 116: 254-261 (2018) - [j54]Jainath Yadav, Md. S. Fahad, K. Sreenivasa Rao:
Epoch detection from emotional speech signal using zero time windowing. Speech Commun. 96: 142-149 (2018) - [c74]Kishore Kumar Ravi, Sandipan Sarkar, Pradeep Rengaswamy, K. Sreenivasa Rao:
Audio Mining: Unsupervised Spoken Term Detection over an Audio Database. ICACCI 2018: 514-518 - [c73]Kumud Tripathi
, K. Sreenivasa Rao:
Discriminative sparse representation for speech mode classification. ICACCI 2018: 655-659 - [c72]Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
DNN-based Bilingual (Telugu-Hindi) Polyglot Speech Synthesis. ICACCI 2018: 1808-1811 - [c71]Tanumay Mandal
, K. Sreenivasa Rao:
Robust Detection of Glottal Activity Using Unwrapped Phase Electroglottographic Signal. ICASSP 2018: 5584-9 - [c70]Pradeep Rengaswamy, K. Sreenivasa Rao:
Modifying LSTM Posteriors with Manner of Articulation Knowledge to Improve Speech Recognition Performance. ICMLA 2018: 769-772 - [c69]Kumud Tripathi
, K. Sreenivasa Rao:
Analysis of sparse representation based feature on speech mode classification. INTERSPEECH 2018: 731-735 - [c68]Gurunath Reddy M., K. Sreenivasa Rao, Partha Pratim Das:
Harmonic-Percussive Source Separation of Polyphonic Music by Suppressing Impulsive Noise Events. INTERSPEECH 2018: 831-835 - [c67]K. E. Manjunath, K. Sreenivasa Rao, Dinesh Babu Jayagopi
, V. Ramasubramanian
:
Indian Languages ASR: A Multilingual Phone Recognition Framework with IPA Based Common Phone-set, Predicted Articulatory Features and Feature fusion. INTERSPEECH 2018: 1016-1020 - [c66]Tanumay Mandal
, K. Sreenivasa Rao, Sanjay Kumar Gupta:
Classification of Disorders in Vocal Folds Using Electroglottographic Signal. INTERSPEECH 2018: 3002-3006 - [c65]Debopriyo Banerjee, Niloy Ganguly
, Shamik Sural
, Krothapalli Sreenivasa Rao:
One for the Road: Recommending Male Street Attire. PAKDD (3) 2018: 571-582 - [i3]R. Pradeep, K. Sreenivasa Rao:
Manner of Articulation Detection using Connectionist Temporal Classification to Improve Automatic Speech Recognition Performance. CoRR abs/1811.01644 (2018) - [i2]Pradeep Rangan, K. Sreenivasa Rao:
Beam Search Decoding using Manner of Articulation Detection Knowledge Derived from Connectionist Temporal Classification. CoRR abs/1811.07720 (2018) - [i1]Gurunath Reddy M., Tanumay Mandal, Krothapalli Sreenivasa Rao:
Glottal Closure Instants Detection From Pathological Acoustic Speech Signal Using Deep Learning. CoRR abs/1811.09956 (2018) - 2017
- [j53]S. B. Sunil Kumar, Tanumay Mandal
, K. Sreenivasa Rao:
Robust glottal activity detection using the phase of an electroglottographic signal. Biomed. Signal Process. Control. 36: 27-38 (2017) - [j52]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Implicit processing of LP residual for language identification. Comput. Speech Lang. 41: 68-87 (2017) - [j51]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Parametric representation of excitation source information for language identification. Comput. Speech Lang. 41: 88-115 (2017) - [j50]N. P. Narendra
, K. Sreenivasa Rao:
Generation of creaky voice for improving the quality of HMM-based speech synthesis. Comput. Speech Lang. 42: 38-58 (2017) - [j49]N. P. Narendra
, K. Sreenivasa Rao:
Parameterization of Excitation Signal for Improving the Quality of HMM-Based Speech Synthesis System. Circuits Syst. Signal Process. 36(9): 3650-3673 (2017) - [j48]Arijul Haque, Krothapalli Sreenivasa Rao:
Modification of energy spectra, epoch parameters and prosody for emotion conversion in speech. Int. J. Speech Technol. 20(1): 15-25 (2017) - [j47]Sourjya Sarkar, K. Sreenivasa Rao:
Supervector-based approaches in a discriminative framework for speaker verification in noisy environments. Int. J. Speech Technol. 20(2): 387-416 (2017) - [j46]Mittapalle Kiran Reddy
, K. Sreenivasa Rao:
Robust Pitch Extraction Method for the HMM-Based Speech Synthesis System. IEEE Signal Process. Lett. 24(8): 1133-1137 (2017) - [c64]S. B. Sunil Kumar, K. Sreenivasa Rao, Tanumay Mandal
:
Accurate Synchronization of Speech and EGG Signal Using Phase Information. INTERSPEECH 2017: 694-698 - 2016
- [j45]Jainath Yadav, K. Sreenivasa Rao:
Prosodic Mapping Using Neural Networks for Emotion Conversion in Hindi Language. Circuits Syst. Signal Process. 35(1): 139-162 (2016) - [j44]V. Ramu Reddy, K. Sreenivasa Rao:
Prosody modeling for syllable based text-to-speech synthesis using feedforward neural networks. Neurocomputing 171: 1323-1334 (2016) - [j43]K. Manjunath, K. Sreenivasa Rao:
Articulatory and excitation source features for speech recognition in read, extempore and conversation modes. Int. J. Speech Technol. 19(1): 121-134 (2016) - [j42]N. P. Narendra
, K. Sreenivasa Rao:
Time-domain deterministic plus noise model based hybrid source modeling for statistical parametric speech synthesis. Speech Commun. 77: 65-83 (2016) - [j41]S. B. Sunil Kumar
, K. Sreenivasa Rao:
Voice/non-voice detection using phase of zero frequency filtered speech signal. Speech Commun. 81: 90-103 (2016) - [c63]R. Pradeep, K. Sreenivasa Rao:
Deep neural networks for kannada phoneme recognition. IC3 2016: 1-6 - [c62]Prasenjit Dhara, Pradeep Rengaswamy, K. Sreenivasa Rao:
Designing automatic note transcription system for Hindustani classical music. ICACCI 2016: 899-903 - [c61]Manish Kumar Rai, Neetish, Md. S. Fahad, Jainath Yadav, K. Sreenivasa Rao:
Language identification using PLDA based on i-vector in noisy environment. ICACCI 2016: 1014-1020 - [c60]Gurunath Reddy M., K. Sreenivasa Rao:
Predominant melody extraction from vocal polyphonic music signal by combined spectro-temporal method. ICASSP 2016: 455-459 - [c59]N. P. Narendra
, K. Sreenivasa Rao:
A deterministic plus noise model of excitation signal using principal component analysis for parametric speech synthesis. ICASSP 2016: 5635-5639 - [c58]Kumud Tripathi, Parakrant Sarkar, K. Sreenivasa Rao:
Sentence Based Discourse Classification for Hindi Story Text-to-Speech (TTS) System. ICON 2016: 46-54 - [c57]Pradeep Rengaswamy, Gurunath Reddy M., K. Sreenivasa Rao, Pallab Dasgupta:
A Robust Non-Parametric and Filtering Based Approach for Glottal Closure Instant Detection. INTERSPEECH 2016: 1795-1799 - [c56]Gurunath Reddy M., K. Sreenivasa Rao:
Enhanced Harmonic Content and Vocal Note Based Predominant Melody Extraction from Vocal Polyphonic Music Signals. INTERSPEECH 2016: 3309-3313 - 2015
- [j40]N. P. Narendra
, K. Sreenivasa Rao:
Robust Voicing Detection and \(F_{0}\) Estimation for HMM-Based Speech Synthesis. Circuits Syst. Signal Process. 34(8): 2597-2619 (2015) - [j39]K. Manjunath, K. Sreenivasa Rao:
Source and system features for phone recognition. Int. J. Speech Technol. 18(2): 257-270 (2015) - [j38]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Implicit excitation source features for robust language identification. Int. J. Speech Technol. 18(3): 459-477 (2015) - [j37]K. Sreenivasa Rao, Shashidhar G. Koolagudi:
Recognition of emotions from video using acoustic and facial features. Signal Image Video Process. 9(5): 1029-1045 (2015) - [c55]Randheer Bagi
, Jainath Yadav, K. Sreenivasa Rao:
Improved recognition rate of language identification system in noisy environment. IC3 2015: 214-219 - [c54]Harikrishna D. M., Gurunath Reddy M., K. Sreenivasa Rao:
Multi-stage children story speech synthesis for Hindi. IC3 2015: 220-224 - [c53]Parakrant Sarkar
, K. Sreenivasa Rao:
Analysis and modeling pauses for synthesis of storytelling speech based on discourse modes. IC3 2015: 225-230 - [c52]Arup Kumar Dutta, K. Sreenivasa Rao:
Robust language identification using Power Normalized Cepstral Coefficients. IC3 2015: 253-256 - [c51]Arijul Haque, K. Sreenivasa Rao:
Analysis and modification of spectral energy for neutral to sad emotion conversion. IC3 2015: 263-268 - [c50]Gurunath Reddy M., K. Sreenivasa Rao:
Neutral to happy emotion conversion by blending prosody and laughter. IC3 2015: 342-347 - [c49]Harikrishna D. M., K. Sreenivasa Rao:
Children story classification based on structure of the story. ICACCI 2015: 1485-1490 - [c48]R. Pradeep, Prasenjit Dhara, K. Sreenivasa Rao, Pallab Dasgupta:
Raga identification based on Normalized Note Histogram features. ICACCI 2015: 1491-1496 - [c47]Shashidhar G. Koolagudi, Shivakranthi B, K. Sreenivasa Rao, Pravin B. Ramteke:
Contribution of Telugu vowels in identifying emotions. ICAPR 2015: 1-6 - [c46]N. P. Narendra
, K. Sreenivasa Rao:
Optimal residual frame based source modeling for HMM-based speech synthesis. ICAPR 2015: 1-5 - [c45]Rashmi Verma, Parakrant Sarkar
, K. Sreenivasa Rao:
Conversion of neutral speech to storytelling style speech. ICAPR 2015: 1-6 - [c44]N. P. Narendra, K. Sreenivasa Rao:
Automatic detection of creaky voice using epoch parameters. INTERSPEECH 2015: 2347-2351 - [c43]N. P. Narendra
, K. Sreenivasa Rao:
Hybrid Source Modeling Method Utilizing Optimal Residual Frames for HMM-based Speech Synthesis. MIKE 2015: 277-286 - [c42]Parakrant Sarkar
, K. Sreenivasa Rao:
Data-driven pause prediction for speech synthesis in storytelling style speech. NCC 2015: 1-5 - 2014
- [b4]K. Sreenivasa Rao, Anil Kumar Vuppala:
Speech Processing in Mobile Environments. Springer Briefs in Electrical and Computer Engineering, Springer 2014, ISBN 978-3-319-03115-6, pp. i-xii, 1-121 - [j36]Sourjya Sarkar, K. Sreenivasa Rao:
Stochastic feature compensation methods for speaker verification in noisy environments. Appl. Soft Comput. 19: 198-214 (2014) - [j35]K. Sreenivasa Rao, Dipanjan Nandi
, Shashidhar G. Koolagudi:
Film segmentation and indexing using autoassociative neural networks. Int. J. Speech Technol. 17(1): 65-74 (2014) - [j34]K. Sreenivasa Rao, Ketan Pachpande:
Segmentation, indexing and retrieval of TV broadcast news bulletins using Gaussian mixture models and vector quantization codebooks. Int. J. Speech Technol. 17(3): 259-269 (2014) - [c41]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:
Designing prosody rule-set for converting neutral TTS speech to storytelling style speech for Indian languages: Bengali, Hindi and Telugu. IC3 2014: 473-477 - [c40]Dipanjan Nandi
, Arup Kumar Dutta, K. Sreenivasa Rao:
Significance of CV transition and steady vowel regions for language identification. IC3 2014: 513-517 - [c39]V. Ramu Reddy, Parakrant Sarkar, K. Sreenivasa Rao:
Duration Modeling by Multi-Models based on Vowel Production characteristics. ICON 2014: 39-47 - [c38]Sourjya Sarkar, K. Sreenivasa Rao:
A novel boosting algorithm for improved i-vector based speaker verification in noisy environments. INTERSPEECH 2014: 671-675 - [c37]K. E. Manjunath, K. Sreenivasa Rao:
Automatic Phonetic Transcription for read, extempore and conversation speech for an Indian language: Bengali. NCC 2014: 1-6 - 2013
- [b3]K. Sreenivasa Rao, Shashidhar G. Koolagudi:
Robust Emotion Recognition using Spectral and Prosodic Features. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-1-4614-6359-7, pp. i-xii, 1-118 - [b2]K. Sreenivasa Rao, Shashidhar G. Koolagudi:
Emotion Recognition using Speech Features. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-1-4614-5142-6, pp. i-xii, 1-124 - [j33]N. P. Narendra
, K. Sreenivasa Rao:
Optimal weight tuning method for unit selection cost functions in syllable based text-to-speech synthesis. Appl. Soft Comput. 13(2): 773-781 (2013) - [j32]V. Ramu Reddy, K. Sreenivasa Rao:
Two-stage intonation modeling using feedforward neural networks for syllable based text-to-speech synthesis. Comput. Speech Lang. 27(5): 1105-1126 (2013) - [j31]K. Sreenivasa Rao, Shashidhar G. Koolagudi, Vempada Ramu Reddy:
Emotion recognition from speech using global and local prosodic features. Int. J. Speech Technol. 16(2): 143-160 (2013) - [j30]Krothapalli Sreenivasa Rao, Shashidhar G. Koolagudi:
Characterization and recognition of emotions from speech using excitation source information. Int. J. Speech Technol. 16(2): 181-201 (2013) - [j29]Anil Kumar Vuppala, K. Sreenivasa Rao:
Vowel onset point detection for noisy speech using spectral energy at formant frequencies. Int. J. Speech Technol. 16(2): 229-235 (2013) - [j28]K. Sreenivasa Rao, Sudhamay Maity, V. Ramu Reddy:
Pitch synchronous and glottal closure based speech analysis for language recognition. Int. J. Speech Technol. 16(4): 413-430 (2013) - [j27]V. Ramu Reddy, Sudhamay Maity, K. Sreenivasa Rao:
Identification of Indian languages using multi-level spectral and prosodic features. Int. J. Speech Technol. 16(4): 489-511 (2013) - [j26]Avinash Kumar Singh, Jayanta Mukhopadhyay, K. Sreenivasa Rao, Kapinaiah Viswanath
:
Classification of Infant Cries Using Dynamics of Epoch Features. J. Intell. Syst. 22(3): 351-364 (2013) - [j25]K. Sreenivasa Rao, Anil Kumar Vuppala:
Non-uniform time scale modification using instants of significant excitation and vowel onset points. Speech Commun. 55(6): 745-756 (2013) - [j24]Jainath Yadav, K. Sreenivasa Rao:
Detection of Vowel Offset Point From Speech Signal. IEEE Signal Process. Lett. 20(4): 299-302 (2013) - [c36]Jainath Yadav, K. Sreenivasa Rao:
Analysis of detection of vowel offset point for coded speech. IC3 2013: 485-490 - [c35]V. Ramu Reddy, K. Sreenivasa Rao:
High quality text-to-speech synthesis system with efficient duration models developed using coding schemes based on vowel production characteristics. ISDA 2013: 7-12 - [c34]Nirmalya Sen, Hemant A. Patil, Shyamal Kr. Das Mandal, K. Sreenivasa Rao:
Importance of Utterance Partitioning in SVM Classifier with GMM Supervectors for Text-Independent Speaker Verification. MIKE 2013: 780-789 - [c33]S. B. Sunil Kumar, K. Sreenivasa Rao, Debadatta Pati:
Phonetic and Prosodically Rich Transcribed speech corpus in Indian languages: Bengali and Odia. O-COCOSDA/CASLRE 2013: 1-5 - [c32]K. E. Manjunath, K. Sreenivasa Rao, Debadatta Pati:
Development of phonetic engine for Indian languages: Bengali and Oriya. O-COCOSDA/CASLRE 2013: 1-6 - [c31]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Language identification using Hilbert envelope and phase information of linear prediction residual. O-COCOSDA/CASLRE 2013: 1-6 - [c30]Hemant A. Patil, Tanvina B. Patel, Nirmesh J. Shah, Hardik B. Sailor
, Raghava Krishnan, G. R. Kasthuri, T. Nagarajan, S. Lilly Christina, Naresh Kumar, Veera Raghavendra, S. Prahallad Kishore, S. R. Mahadeva Prasanna, Nagaraj Adiga
, Sanasam Ranbir Singh, Anand Konjengbam, Pranaw Kumar, Bira Chandra Singh, S. L. Binil Kumar, T. G. Bhadran, T. Sajini, Arup Saha, Tulika Basu, K. Sreenivasa Rao, N. P. Narendra
, Anil Kumar Sao, Rakesh Kumar, Pranhari Talukdar, Purnendu Acharyaa, Somnath Chandra, Swaran Lata, Hema A. Murthy:
A syllable-based framework for unit selection synthesis in 13 Indian languages. O-COCOSDA/CASLRE 2013: 1-8 - [c29]Sourjya Sarkar, K. Sreenivasa Rao:
Significance of utterance partitioning in GMM-SVM based speaker verification in varying background environment. O-COCOSDA/CASLRE 2013: 1-5 - [c28]Ravi Kalyan Bhakat, N. P. Narendra
, Krothapalli Sreenivasa Rao:
Corpus Based Emotional Speech Synthesis in Hindi. PReMI 2013: 390-395 - [c27]Vempada Ramu Reddy, Krothapalli Sreenivasa Rao:
Duration Modeling Using Multi-model Based on Positional Information. PReMI 2013: 404-409 - 2012
- [b1]K. Sreenivasa Rao:
Predicting Prosody from Text for Text-to-Speech Synthesis. Springer Briefs in Electrical and Computer Engineering, Springer 2012, ISBN 978-1-4614-1337-0, pp. i-xii, 1-130 - [j23]Rabul Hussain Laskar, D. Chakrabarty, Fazal Ahmed Talukdar, K. Sreenivasa Rao, Kalyan Banerjee:
Comparing ANN and GMM in a voice conversion framework. Appl. Soft Comput. 12(11): 3332-3342 (2012) - [j22]Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti:
Spotting and Recognition of Consonant-Vowel Units from Continuous Speech Using Accurate Detection of Vowel Onset Points. Circuits Syst. Signal Process. 31(4): 1459-1474 (2012) - [j21]Krothapalli Sreenivasa Rao:
Unconstrained Pitch Contour Modification Using Instants of Significant Excitation. Circuits Syst. Signal Process. 31(6): 2133-2152 (2012) - [j20]Shashidhar G. Koolagudi, K. Sreenivasa Rao:
Emotion recognition from speech: a review. Int. J. Speech Technol. 15(2): 99-117 (2012) - [j19]Shashidhar G. Koolagudi, K. Sreenivasa Rao:
Emotion recognition from speech using source, system, and prosodic features. Int. J. Speech Technol. 15(2): 265-289 (2012) - [j18]Krothapalli Sreenivasa Rao, Jaynath Yadav, Sourjya Sarkar, Shashidhar G. Koolagudi, Anil Kumar Vuppala:
Neural network based feature transformation for emotion independent speaker identification. Int. J. Speech Technol. 15(3): 335-349 (2012) - [j17]Rabul Hussain Laskar, Kalyan Banerjee, Fazal Ahmed Talukdar, K. Sreenivasa Rao:
A pitch synchronous approach to design voice conversion system using source-filter correlation. Int. J. Speech Technol. 15(3): 419-431 (2012) - [j16]Shashidhar G. Koolagudi, Krothapalli Sreenivasa Rao:
Emotion recognition from speech using sub-syllabic and pitch synchronous spectral features. Int. J. Speech Technol. 15(4): 495-511 (2012) - [j15]Anil Kumar Vuppala, Jainath Yadav, Saswat Chakrabarti, K. Sreenivasa Rao:
Vowel Onset Point Detection for Low Bit Rate Coded Speech. IEEE Trans. Speech Audio Process. 20(6): 1894-1903 (2012) - [j14]N. P. Narendra
, K. Sreenivasa Rao:
Syllable Specific Unit Selection Cost Functions for Text-to-Speech Synthesis. ACM Trans. Speech Lang. Process. 9(3): 5:1-5:24 (2012) - [c26]Shashidhar G. Koolagudi, Shan E. Fatima, K. Sreenivasa Rao:
Speaker recognition in the case of emotional environment using transformation of speech features. CUBE 2012: 118-123 - [c25]Santosh Kumar Bharti
, Shashidhar G. Koolagudi, K. Sreenivasa Rao, Ankur Choudhary, Binod Kumar:
Voice conversion using linear prediction coefficients and artificial neural network. CUBE 2012: 240-245 - [c24]V. Ramu Reddy, K. Sreenivasa Rao:
Intensity Modeling for Syllable Based Text-to-Speech Synthesis. IC3 2012: 106-117 - [c23]Krishnendu Ghosh
, K. Sreenivasa Rao:
Data-Driven Phrase Break Prediction for Bengali Text-to-Speech System. IC3 2012: 118-129 - [c22]Shashidhar G. Koolagudi, Anurag Barthwal
, Swati Devliyal, K. Sreenivasa Rao:
Real Life Emotion Classification from Speech Using Gaussian Mixture Models. IC3 2012: 250-261 - [c21]Shashidhar G. Koolagudi, Swati Devliyal, Anurag Barthwal
, K. Sreenivasa Rao:
Emotion Recognition from Semi Natural Speech Using Artificial Neural Networks and Excitation Source Features. IC3 2012: 273-282 - [c20]Shashidhar G. Koolagudi, Deepika Rastogi, K. Sreenivasa Rao:
Spoken Language Identification Using Spectral Features. IC3 2012: 496-497 - [c19]V. Ramu Reddy, K. Sreenivasa Rao:
Better human computer interaction by enhancing the quality of text-to-speech synthesis. IHCI 2012: 1-6 - 2011
- [j13]K. Sreenivasa Rao, V. K. Saroj, Sudhamay Maity, Shashidhar G. Koolagudi:
Recognition of emotions from video using neural network models. Expert Syst. Appl. 38(10): 13181-13185 (2011) - [j12]K. Sreenivasa Rao:
Application of prosody models for developing speech systems in Indian languages. Int. J. Speech Technol. 14(1): 19-33 (2011) - [j11]Shashidhar G. Koolagudi, Rao Sreenivasa Krothapalli:
Two stage emotion recognition based on speaking rate. Int. J. Speech Technol. 14(1): 35-48 (2011) - [j10]N. P. Narendra
, K. Sreenivasa Rao, Krishnendu Ghosh
, Vempada Ramu Reddy, Sudhamay Maity:
Development of syllable-based text to speech synthesis system in Bengali. Int. J. Speech Technol. 14(3): 167 (2011) - [j9]Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti, P. Krishnamoorthy, S. R. M. Prasanna:
Recognition of consonant-vowel (CV) units under background noise using combined temporal and spectral preprocessing. Int. J. Speech Technol. 14(3): 259 (2011) - [c18]Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti:
Effect of Noise on Recognition of Consonant-Vowel (CV) Units. IC3 2011: 191-200 - [c17]Anil Kumar Vuppala, Jainath Yadav, K. Sreenivasa Rao, Saswat Chakrabarti:
Effect of Noise on Vowel Onset Point Detection. IC3 2011: 201-211 - [c16]Rahul Chauhan, Jainath Yadav, Shashidhar G. Koolagudi, K. Sreenivasa Rao:
Text Independent Emotion Recognition Using Spectral Features. IC3 2011: 359-370 - [c15]N. P. Narendra
, K. Sreenivasa Rao:
Segment Specific Concatenation Cost for Syllable Based Bengali TTS. IC3 2011: 371-382 - 2010
- [j8]K. Sreenivasa Rao:
Voice conversion by mapping the speaker-specific features using pitch synchronous approach. Comput. Speech Lang. 24(3): 474-494 (2010) - [j7]Krothapalli S. Rao, Shashidhar G. Koolagudi:
Selection of Suitable Features for Modeling the Durations of Syllables. J. Softw. Eng. Appl. 3(12): 1107-1117 (2010) - [j6]Krothapalli Sreenivasa Rao:
Real Time Prosody Modification. J. Signal Inf. Process. 1(1): 50-62 (2010) - [c14]Anil Kumar Vuppala, Saswat Chakrabarti, K. Sreenivasa Rao:
Effect of Speech Coding on Recognition of Consonant-Vowel (CV) Units. IC3 (1) 2010: 284-294 - [c13]Shashidhar G. Koolagudi, Sudhin Ray, K. Sreenivasa Rao:
Emotion Classification Based on Speaking Rate. IC3 (1) 2010: 316-327
2000 – 2009
- 2009
- [j5]K. Sreenivasa Rao, B. Yegnanarayana:
Intonation modeling for Indian languages. Comput. Speech Lang. 23(2): 240-256 (2009) - [j4]K. Sreenivasa Rao, B. Yegnanarayana:
Duration modification using glottal closure instants and vowel onset points. Speech Commun. 51(12): 1263-1269 (2009) - [c12]Shashidhar G. Koolagudi, Sudhamay Maity, Anil Kumar Vuppala, Saswat Chakrabarti, K. Sreenivasa Rao:
IITKGP-SESC: Speech Database for Emotion Analysis. IC3 2009: 485-492 - [c11]K. Sreenivasa Rao, S. R. Mahadeva Prasanna, T. V. Sagar:
Significance of Word and Syllable Level Information for Expressive Speech Processing. ICAPR 2009: 159-162 - [c10]K. Sreenivasa Rao, Sudhamay Maity, Amol Taru, Shashidhar G. Koolagudi:
Unit Selection Using Linguistic, Prosodic and Spectral Distance for Developing Text-to-Speech System in Hindi. PReMI 2009: 531-536 - [c9]Shashidhar G. Koolagudi, K. Sreenivasa Rao:
Exploring Speech Features for Classifying Emotions along Valence Dimension. PReMI 2009: 537-542 - 2008
- [p1]K. Sreenivasa Rao:
Modeling Supra-Segmental Features of Syllables Using Neural Networks. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 71-95 - 2007
- [j3]K. Sreenivasa Rao, B. Yegnanarayana:
Modeling durations of syllables using neural networks. Comput. Speech Lang. 21(2): 282-295 (2007) - [j2]K. Sreenivasa Rao, S. R. Mahadeva Prasanna, Bayya Yegnanarayana:
Determination of Instants of Significant Excitation in Speech Using Hilbert Envelope and Group Delay Function. IEEE Signal Process. Lett. 14(10): 762-765 (2007) - [c8]K. Sreenivasa Rao, Rabul Hussain Laskar, Shashidhar G. Koolagudi:
Voice Transformation by Mapping the Features at Syllable Level. PReMI 2007: 479-486 - 2006
- [j1]K. Sreenivasa Rao, B. Yegnanarayana:
Prosody modification using instants of significant excitation. IEEE Trans. Speech Audio Process. 14(3): 972-980 (2006) - [c7]K. Sreenivasa Rao, B. Yegnanarayana:
Voice Conversion by Prosody and Vocal Tract Modification. ICIT 2006: 111-116 - 2004
- [c6]K. Sreenivasa Rao, B. Yegnanarayana:
Modeling syllable duration in Indian languages using neural networks. ICASSP (5) 2004: 313-316 - [c5]K. Sreenivasa Rao, S. R. Mahadeva Prasanna, B. Yegnanarayana:
Two-Stage Duration Model for Indian Languages Using Neural Networks. ICONIP 2004: 1179-1185 - [c4]Krothapalli Sreenivasa Rao, Bayya Yegnanarayana:
Intonation modeling for indian languages. INTERSPEECH 2004: 733-736 - 2003
- [c3]K. Sreenivasa Rao, B. Yegnanarayana:
Prosodic manipulation using instants of significant excitation. ICASSP (1) 2003: 528-531 - [c2]K. Sreenivasa Rao, B. Yegnanarayana:
Prosodic manipulation using instants of significant excitation. ICME 2003: 389-392 - 2002
- [c1]B. Yegnanarayana, S. R. Mahadeva Prasanna, K. Sreenivasa Rao:
Speech enhancement using excitation source information. ICASSP 2002: 541-544
Coauthor Index
aka: Gurunath Reddy M.
aka: S. R. M. Prasanna
aka: Vempada Ramu Reddy
aka: Jaynath Yadav
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