
K. Sreenivasa Rao
Krothapalli Sreenivasa Rao – Krothapalli S. Rao – Rao Sreenivasa Krothapalli
Person information
- affiliation: Indian Institute of Technology Kharagpur, West Bengal, India
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2020 – today
- 2021
- [j74]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) - 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]Y. 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]R. Kishore Kumar, 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. P. 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]