| Detection of specific language impairment in children using glottal source features MK Reddy, P Alku, KS Rao IEEE Access 8, 15273-15279, 2020 | 35 | 2020 |
| Robust pitch extraction method for the HMM-based speech synthesis system MK Reddy, KS Rao IEEE Signal Processing letters 24 (8), 1133-1137, 2017 | 29 | 2017 |
| A comparison of cepstral features in the detection of pathological voices by varying the input and filterbank of the cepstrum computation MK Reddy, P Alku IEEE Access 9, 135953-135963, 2021 | 26 | 2021 |
| The automatic detection of heart failure using speech signals MK Reddy, P Helkkula, YM Keerthana, K Kaitue, M Minkkinen, ... Computer Speech & Language 69, 101205, 2021 | 22 | 2021 |
| Excitation modelling using epoch features for statistical parametric speech synthesis MK Reddy, KS Rao Computer Speech & Language 60, 101029, 2020 | 16 | 2020 |
| CWT-Based Approach for Epoch Extraction From Telephone Quality Speech YM Keerthana, MK Reddy, KS Rao IEEE Signal Processing Letters 26 (8), 1107-1111, 2019 | 14 | 2019 |
| Inverse filter based excitation model for HMM-based speech synthesis system MK Reddy, KS Rao IET Signal Processing 12 (4), 544-548, 2018 | 9* | 2018 |
| Glottal flow characteristics in vowels produced by speakers with heart failure KR Mittapalle, H Pohjalainen, P Helkkula, K Kaitue, M Minkkinen, ... Speech Communication 137, 35-43, 2022 | 8 | 2022 |
| Exemplar-Based Sparse Representations for Detection of Parkinson's Disease From Speech MK Reddy, P Alku IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1386-1396, 2023 | 7 | 2023 |
| Automatic Assessment of Parkinson's Disease Using Speech Representations of Phonation and Articulation Y Liu, MK Reddy, N Penttilä, T Ihalainen, P Alku, O Räsänen IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 242-255, 2022 | 7 | 2022 |
| End-to-end pathological speech detection using wavelet scattering network MK Reddy, YM Keerthana, P Alku IEEE Signal Processing Letters 29, 1863-1867, 2022 | 6 | 2022 |
| Multilingual and multimode phone recognition system for Indian languages K Tripathi, MK Reddy, KS Rao Speech Communication 119, 12-23, 2020 | 5 | 2020 |
| Improved HMM-based mixed-language (Telugu–Hindi) polyglot speech synthesis MK Reddy, KS Rao Advances in Communication, Signal Processing, VLSI, and Embedded Systems …, 2020 | 5 | 2020 |
| Robust f0 extraction from monophonic signals using adaptive sub-band filtering P Rengaswamy, MK Reddy, KS Rao, P Dasgupta Speech Communication 116, 77-85, 2020 | 4 | 2020 |
| DNN-Based Cross-Lingual Voice Conversion Using Bottleneck Features MK Reddy, KS Rao Neural Processing Letters 51, 2029–2042, 2019 | 4* | 2019 |
| DNN-based bilingual (Telugu-Hindi) polyglot speech synthesis MK Reddy, KS Rao 2018 International Conference on Advances in Computing, Communications and …, 2018 | 4 | 2018 |
| Detecting R-Peaks in electrocardiogram signal using Hilbert envelope Y Madhu Keerthana, M Kiran Reddy Machine Intelligence and Signal Analysis, 1-10, 2019 | 3 | 2019 |
| LSTM-Based Robust Voicing Decision Applied to DNN-Based Speech Synthesis R Pradeep, MK Reddy, KS Rao Automatic Control and Computer Sciences 53 (4), 328-332, 2019 | 2 | 2019 |
| Excitation modeling for HMM-based speech synthesis based on principal component analysis NP Narendra, MK Reddy, KS Rao 2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016 | 2 | 2016 |
| Classification of functional dysphonia using the tunable Q wavelet transform KR Mittapalle, MK Yagnavajjula, P Alku Speech Communication 155, 102989, 2023 | 1 | 2023 |
Krothapalli Sreenivasa RaoProfessor, Department of Computer Science and Engineering, IIT KharagpurDirección de correo verificada de iitkgp.ac.in
