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Virtual Assistant


1.

Significance of neural phonotactic models for large-scale spoken language identification
Srivastava B.M.L., Vydana H., Vuppala A.K., Shrivastava M.; Proceedings of the International Joint Conference on Neural Networks;2017

2.

Analysis of Cough Sounds for Diagnosis of Respiratory Diseases
N. Suma Jyostna, L. V. Rajani Kumari, Y. Padma Sai, S. V. N. Narayana Rao, V. Naveen Kumar; 7th IEEE International Advance Computing Conference (IACC 2017);2017

3.

Early Diagnosis of Pulmonary Diseases using Wheeze Sound Analysis
K. Navya, V. Naveen Kumar, S. V. N. Narayana Rao , Y. Padma Sai; 7th IEEE International Advance Computing Conference (IACC 2017);2017

4.

Expert system using artificial neural network for chronic respiratory diseases
P ShubhaDeepti, SVNN Rao, VN Kumar, YP Sai; INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR);2017

5.

Together we stand: Siamese networks for similar question retrieval
Das A., Yenala H., Chinnakotla M., Shrivastava M.; 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers;2016

6.

Articulatory gesture rich representation learning of phonological units in low resource settings
Srivastava B.M.L., Shrivastava M.; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2016

7.

Mirror on the wall: Finding similar questions with deep structured topic modeling
Das A., Shrivastava M., Chinnakotla M.; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics);2016

8.

Vaidya: A Spoken Dialog System for Health Domain
P Danda, BML Srivastava, M Shrivastava; Proc. of the 13th Intl. Conference on Natural Language Processing;2016

9.

A language model based approach towards large scale and lightweight language identification systems
BML Srivastava, HK Vydana, AK Vuppala, M Shrivastava; SPCOM 2016, arXiv preprint arXiv:1510.03602;2015

10.

Statistical sandhi splitter and its effect on NLP Applications
Kuncham P., Nelakuditi K., Mamidi R.; International Conference Recent Advances in Natural Language Processing, RANLP;2015

11.

A Semi Supervised Dialog Act Tagging for Telugu
Suman Dowlagar, Radhika Mamidi; International Conference on Natural Language Processing (ICON-2015);2015

12.

Implementation of speech based stress level monitoring system
V.Naveen Kumar, Dr.Y.Padma sai, K.Sonali Swaroop; Computing, Communication and Sensor Network CCSN 2015;2015

13.

COUGH CLASSIFICATION TOOL FOR EARLY DETECTION AND RECOVERY MONITORING OF TUBERCULOSIS AND ASTHMA
YP SAI, VP BRAHMAIAH, VN KUMAR, SVNN RAO; 4 th International Conference on ?Computing, Communication and Sensor Network, CCSN2015;2015

14.

Design and Implementation of Silent Pause Stuttered Speech Recognition System
CO Prakash, YP Sai, VN Kumar; International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering;2015

15.

Fundamental frequency generation for whisper-to-audible speech conversion
K. Prahallad; IEEE ICASSP 2014, International Conference on Acoustics, Speech, and Signal Processing;2014

16.

Learning continuous-valued word representations for phrase break prediction
Anandaswarup Vadapalli, Kishore Prahallad; International Speech Communication Association (INTERSPEECH-2014);2014

17.

Unsupervised Query-by-Example Spoken Term Detection using Bag of Acoustic Words and Non-Segmental Dynamic Time Warping
Basil George, B. Yegnanarayana; IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP-2014);2014

18.

Concepts identification of an NL query in NLIDB systems
Srirampur S., Chandibhamar R., Palakurthi A., Mamidi R.; Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014;2014

19.

Development of telugu text to speech system using OMAP 3530
Shaik S., Padmasai Y., Kumar V.N.; 2013 International Conference on IT Convergence and Security, ICITCS 2013;2013

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