Device text to speech F Rossi, S Achanta US Patent 11,289,073, 2022 | 82 | 2022 |
Query-by-example spoken term detection using frequency domain linear prediction and non-segmental dynamic time warping G Mantena, S Achanta, K Prahallad IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (5), 946-955, 2014 | 72 | 2014 |
SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017 R KNRK Alluri, S Achanta, S Kadiri Reddy, S Gangashetty V, AK Vuppala Interspeech, 2017 | 70 | 2017 |
An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages M K V, S Achanta, L H R, S V Gangashetty, AK Vuppala INTERSPEECH, 2016 | 47 | 2016 |
An Investigation of Recurrent Neural Network Architectures for Statistical Parametric Speech Synthesis S Achanta, T Godambe, SV Gangashetty INTERSPEECH, 2015 | 38 | 2015 |
Deep Elman Recurrent Neural Networks for Statistical Parametric Speech Synthesis S Achanta, S Gangashetty V Speech Communication, 2017 | 33 | 2017 |
Detection of Replay Attacks using Single Frequency Filtering Cepstral Coefficients R KNRK Alluri, S Achanta, S Kadiri Reddy, S Gangashetty V, AK Vuppala Interspeech, 2017 | 27 | 2017 |
On-device neural speech synthesis S Achanta, A Antony, L Golipour, J Li, T Raitio, R Rasipuram, F Rossi, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 17 | 2021 |
A study on text-independent speaker recognition systems in emotional conditions using different pattern recognition models KR Alluri, S Achanta, R Prasath, SV Gangashetty, AK Vuppala Mining Intelligence and Knowledge Exploration: 4th International Conference …, 2017 | 9 | 2017 |
Statistical parametric speech synthesis using bottleneck representation from sequence auto-encoder S Achanta, K Alluri, SV Gangashetty arXiv preprint arXiv:1606.05844, 2016 | 6 | 2016 |
IIIT-H’s entry to Blizzard Challenge 2015 SK Rallabandi, A Vadapalli, S Achanta, SV Gangashetty Proc. of Interspeech, 2015 | 6 | 2015 |
IIIT Hyderabad’s submission to the Blizzard Challenge 2015 SK Rallabandi, A Vadapalli, S Achanta, S Gangashetty Proceedings of Blizzard Challenge, 2015 | 5 | 2015 |
Contextual Representation using Recurrent Neural Network Hidden State for Statistical Parametric Speech Synthesis S Achanta, R Banoth, A Pandey, A Vadapalli, SV Gangashetty 9th ISCA Speech Synthesis Workshop, 172-177, 2016 | 4 | 2016 |
Analysis of Sequence to Sequence Neural Networks on Grapheme to Phoneme Conversion Task S Achanta, A Pandey, G Suryakanth V International Joint Conference on Neural Networks (IJCNN), 7, 2016 | 4 | 2016 |
An investigation of end-to-end speaker recognition using deep neural networks HR Lakhsmi, S Achanta, PV Bhavya, SV Gangashetty International Journal of Engineering Research in Electronic and …, 2016 | 3 | 2016 |
Incorporating Speaker Normalizing Capabilities to an End-to-End Speech Recognition System. HK Vydana, S Achanta, AK Vuppala SLTU, 172-176, 2018 | 2 | 2018 |
Assessing Speaker Interpolation in Neural Text-to-Speech R Korostik, J Latorre, S Achanta, Y Stylianou Speech and Computer: 23rd International Conference, SPECOM 2021, St …, 2021 | 1 | 2021 |
Multilingual Text-to-Speech Synthesis using Sequence-to-Sequence Neural Networks S Achanta Ph. D. thesis, International Institute of Information Technology, Hyderabad …, 2018 | 1 | 2018 |
IIITH Submission for Blizzard Challenge 2017: A BLSTM based SPSS System using MatNN S Achanta, A Vadapalli, SV Gangashetty Blizzard Challenge Workshop, 2017 | | 2017 |
Significance of Maximum Spectral Amplitude in Sub-bands for Spectral Envelope Estimation and Its Application to Statistical Parametric Speech Synthesis S Achanta, A Vadapalli, SV Gangashetty arXiv preprint arXiv:1508.00354, 2015 | | 2015 |