Suryakanth V. Gangashetty

发表

Multilayer Feedforward Neural Network Models for Pattern Recognition Tasks in Earthquake Engineering

T. Ashwini Reddy, K. Renuka Devi, Suryakanth V. Gangashetty, 2011, ADCONS.

Analysis of Acoustic Events in Speech Signals Using Bessel Series Expansion

Dhananjaya N. Gowda, Suryakanth V. Gangashetty, Chetana Prakash, 2013, Circuits Syst. Signal Process..

Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2016, INTERSPEECH.

Two microphone technique to improve the speech intelligibility under noisy environment

Suryakanth V. Gangashetty, P Bala Manikya Prasad, M S Ganesh, 2018, 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA).

Phonetically Balanced Code-Mixed Speech Corpus for Hindi-English Automatic Speech Recognition

Suryakanth V. Gangashetty, Brij Mohan Lal Srivastava, Ayushi Pandey, 2018, LREC.

Acoustic Scene Classification using Single Frequency Filtering Cepstral Coefficients and DNN

Suryakanth V. Gangashetty, Chandrasekhar Paseddula, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Investigating Signal Correlation as Continuity Metric in a Syllable Based Unit Selection Synthesis System

Suryakanth V. Gangashetty, Sai Krishna Rallabandi, Sai Sirisha Rallabandi, 2016, SPECOM.

Acoustic analysis of infant cry signal towards automatic detection of the cause of crying

Shivam Sharma, Suryakanth V. Gangashetty, Pruthvi Raj Myakala, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Discriminating Nasals and Approximants in English Language Using Zero Time Windowing

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, 2018, INTERSPEECH.

An Investigation of Recurrent Neural Network Architectures Using Word Embeddings for Phrase Break Prediction

Suryakanth V. Gangashetty, Anandaswarup Vadapalli, 2016, INTERSPEECH.

Integration of Multimodal Interaction as Assistance in Virtual Environments

Suryakanth V. Gangashetty, Sachin Joshi, Kiran Pala, 2012, SMIAE@ACL.

AM-FM model based approach for detection of glottal closure instants

Ram Bilas Pachori, Suryakanth V. Gangashetty, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Detection of vowel on set points in continuous speech using autoassociative neural network models

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2004, INTERSPEECH.

Text Independent Speaker Identification Using Bessel Features

Suryakanth V. Gangashetty, Shivesh Ranjan, Viresh Ranjan, 2012 .

Analysis of Lombard speech using excitation source information

Bayya Yegnanarayana, Suryakanth V. Gangashetty, G. Bapineedu, 2009, INTERSPEECH.

Late fusion framework for Acoustic Scene Classification using LPCC, SCMC, and log-Mel band energies with Deep Neural Networks

Suryakanth V. Gangashetty, Chandrasekhar Paseddula, S. Gangashetty, 2021 .

An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages

Suryakanth V. Gangashetty, Anil Kumar Vuppala, V. MounikaK., 2016, INTERSPEECH.

Sentiment analysis using relative prosody features

Suryakanth V. Gangashetty, Manish Shrivastava, Harika Abburi, 2017, 2017 Tenth International Conference on Contemporary Computing (IC3).

Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients

Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, Anil Kumar Vuppala, 2017, INTERSPEECH.

Statistical Parametric Speech Synthesis Using Bottleneck Representation From Sequence Auto-encoder pdf

Suryakanth V. Gangashetty, Sivanand Achanta, K. N. R. K. Raju Alluri, 2016, ArXiv.

Constraint satisfaction model for enhancement of evidence in recognition of consonant-vowel utterances

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Excitation Source and Vocal Tract System Based Acoustic Features for Detection of Nasals in Continuous Speech

Suryakanth V. Gangashetty, Karan Nathwani, Sri Harsha Dumpala, 2019, INTERSPEECH.

Combining evidences from excitation source and vocal tract system features for Indian language identification using deep neural networks

Suryakanth V. Gangashetty, Ravi Kumar Vuddagiri, Anil Kumar Vuppala, 2018, Int. J. Speech Technol..

Vocal Tract System Characteristics for Studies on Vowels

Suryakanth V. Gangashetty, M. Sneha, 2009, IICAI.

Detection of glottal closure instants from Bessel features using AM-FM signal

Suryakanth V. Gangashetty, Chetana Prakash, N Dhananjaya, 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

Exploring Bessel Features for Detection of Glottal Closure Instants

N. Dhananjaya, Suryakanth V. Gangashetty, Chetana Prakash, 2011, INTERSPEECH.

Edge detection for facial images under noisy conditions

Suryakanth V. Gangashetty, Sudarshan Madabusi, S. Gangashetty, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Adapting monolingual resources for code-mixed hindi-english speech recognition

Suryakanth V. Gangashetty, Ayushi Pandey, Brij Mohan Lai Srivastava, 2017, 2017 International Conference on Asian Language Processing (IALP).

Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Chellu Chandra Sekhar, 2005, NOLISP.

A Study on Text-Independent Speaker Recognition Systems in Emotional Conditions Using Different Pattern Recognition Models

Suryakanth V. Gangashetty, Rajendra Prasath, Anil Kumar Vuppala, 2016, MIKE.

Fourier - Bessel based Cepstral Coefficient Features for Text-Independent Speaker Identification

Suryakanth V. Gangashetty, Chetana Prakash, C. Prakash, 2011, IICAI.

Significance of Maximum Spectral Amplitude in Sub-bands for Spectral Envelope Estimation and Its Application to Statistical Parametric Speech Synthesis pdf

Suryakanth V. Gangashetty, Sai Krishna Rallabandi, Anandaswarup Vadapalli, 2015, ArXiv.

Query-by-example spoken term detection using bessel features

Suryakanth V. Gangashetty, K. S. Riyas, K. K. Anish Babu, 2015, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).

Nonlinear principal component analysis for seismic data compression

T. Ashwini Reddy, K. Renuka Devi, Suryakanth V. Gangashetty, 2012, 2012 1st International Conference on Recent Advances in Information Technology (RAIT).

Topic identification of spoken documents using unsupervised acoustic unit discovery

Lukás Burget, Sanjeev Khudanpur, Jan Cernocký, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimation of Vocal Tract Resonances Using Spectral Prominent Regions and Artificial Neural Networks

Ashraf Alkhairy, Suryakanth V. Gangashetty, Afshan Jafri, 2018, Circuits Syst. Signal Process..

Excitation source features for discrimination of anger and happy emotions

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, 2014, INTERSPEECH.

Analysis of sequence to sequence neural networks on grapheme to phoneme conversion task

Suryakanth V. Gangashetty, Ayushi Pandey, Sivanand Achanta, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Development of IIITH Hindi-English Code Mixed Speech Database

Suryakanth V. Gangashetty, Banothu Rambabu, 2018, SLTU.

Passblot: A Usable Way of Authentication Scheme to Generate One Time Passwords

Suryakanth V. Gangashetty, Sainath Gupta, Pruthvi Sabbu, 2011 .

SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017

Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, Anil Kumar Vuppala, 2017, INTERSPEECH.

Robust Vowel Landmark Detection Using Epoch-Based Features

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2016, INTERSPEECH.

Significance of pitch synchronous analysis for speaker recognition using AANN models

Kishore Prahallad, Bayya Yegnanarayana, Sri Harish Reddy Mallidi, 2010, INTERSPEECH.

Deep Elman recurrent neural networks for statistical parametric speech synthesis

Suryakanth V. Gangashetty, Sivanand Achanta, 2017, Speech Commun..

Detection of voice onset time using FB expansion and AM-FM model

Ram Bilas Pachori, Suryakanth V. Gangashetty, R. B. Pachori, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Towards developing a phonetically balanced code-mixed speech corpus for Hindi-English ASR

Suryakanth V. Gangashetty, Brij Mohan Lal Srivastava, Ayushi Pandey, 2017, ICON.

Improved vowel region detection from a continuous speech using post processing of vowel onset points and vowel end-points

Suryakanth V. Gangashetty, Anil Kumar Vuppala, Ramakrishna Thirumuru, 2018, Multimedia Tools and Applications.

Learning Filterbanks from Raw Waveform for Accent Classification

Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, Rashmi Kethireddy, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

DNN based Acoustic Scene Classification using Score Fusion of MFCC and Inverse MFCC

Suryakanth V. Gangashetty, Chandrasekhar Paseddula, S. Gangashetty, 2018, 2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS).

Analysis of laughter and speech-laugh signals using excitation source information

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Epoch Extraction from Speech Signals Using Temporal and Spectral Cues by Exploiting Harmonic Structure of Impulse-like Excitations

Suryakanth V. Gangashetty, P. Gangamohan, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Contextual Representation using Recurrent Neural Network Hidden State for Statistical Parametric Speech Synthesis

Suryakanth V. Gangashetty, Ayushi Pandey, Anandaswarup Vadapalli, 2016, SSW.

Analysis of excitation source features of speech for emotion recognition

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, 2015, INTERSPEECH.

Application of Euclidean Distance in Optimal Coupling used in Text to Speech Synthesis

Suryakanth V. Gangashetty, Leena Dutta, 2007, IICAI.

Neural network models for recognition of consonant-vowel (C/sup n/V) utterances

B. Yegnanarayana, Suryakanth V. Gangashetty, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

SIGNIFICANCE OF VOWEL ONSET POINT FOR SPEECH ANALYSIS

S. R. Mahadeva Prasanna, B. Yegnanarayana, Suryakanth V. Gangashetty, 2001 .

Locating Burst Onsets Using SFF Envelope and Phase Information

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, 2017, INTERSPEECH.

Significance of Emotionally Significant Regions of Speech for Emotive to Neutral Conversion

Suryakanth V. Gangashetty, Hari Krishna Vydana, Anil Kumar Vuppala, 2015, MIKE.

Study of Closed Phase Resonance Bandwidths for Oral and Nasal Tracts Using Zero Time Windowing

Suryakanth V. Gangashetty, Bhanu Teja Nellore, RaviShankar Prasad, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference

Paavo Alku, Suryakanth V. Gangashetty, B. Yegnanarayana, 2020, Circuits, Systems, and Signal Processing.

Passblot: A Highly Scalable Graphical One Time Password System

Suryakanth V. Gangashetty, Shashank Sahni, Pruthvi Sabbu, 2012 .

Linear and nonlinear compression of feature vectors for speech recognition

S. R. Mahadeva Prasanna, B. Yegnanarayana, Suryakanth V. Gangashetty, 2002, ICASSP.

Bessel features for detection of voice onset time using AM-FM signal

Suryakanth V. Gangashetty, Chetana Prakash, N Dhananjaya, 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

Decision Level Fusion based Approach for Indian Languages Identification using Deep Neural Network

Suryakanth V. Gangashetty, Kanika Gupta, Kartikeya Singh Gour, 2018, TENCON 2018 - 2018 IEEE Region 10 Conference.

Input Fusion of MFCC and SCMC Features for Acoustic Scene Classification using DNN

Suryakanth V. Gangashetty, Chandrasekhar Paseddula, 2018, 2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS).

Virtual Environments Can Mediate Continuous Learning

Suryakanth V. Gangashetty, Kiran Pala, S. Gangashetty, 2013 .

Combining evidence from multiple modular networks for recognition of consonant-vowel units of speech

B. Yegnanarayana, C. Chandra Sekhar, Suryakanth V. Gangashetty, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors

Suryakanth V. Gangashetty, P. Gangamohan, Banothu Rambabu, 2020, LREC.

Multimodal Sentiment Analysis Using Deep Neural Networks

Suryakanth V. Gangashetty, Manish Shrivastava, Harika Abburi, 2016, MIKE.

Importance of non-uniform prosody modification for speech recognition in emotion conditions

Suryakanth V. Gangashetty, Hari Krishna Vydana, Anil Kumar Vuppala, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Robust features for sonorant segmentation in continuous speech

Bayya Yegnanarayana, Suryakanth V. Gangashetty, Sri Harsha Dumpala, 2015, INTERSPEECH.

Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification

Paavo Alku, Suryakanth V. Gangashetty, Sudarsana Reddy Kadiri, 2020, IEEE Access.

Online text-independent speaker verification system using autoassociative neural network models

B. Yegnanarayana, Suryakanth V. Gangashetty, S. P. Kishore, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Games for Academic Vocabulary Learning through a Virtual Environment

Anil Kumar Singh, Suryakanth V. Gangashetty, Kiran Pala, 2011, 2011 International Conference on Asian Language Processing.

A speech-based conversation system for accessing agriculture commodity prices in Indian languages

Kishore Prahallad, Suryakanth V. Gangashetty, B. Yegnanarayana, 2011, 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays.

Improved Language Identification in Presence of Speech Coding

Suryakanth V. Gangashetty, Hari Krishna Vydana, Ravi Kumar Vuddagiri, 2015, MIKE.

Decomposition of speech signals for analysis of aperiodic components of excitation

Bayya Yegnanarayana, N. Dhananjaya, Suryakanth V. Gangashetty, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Developing a unit selection voice given audio without corresponding text

Ashraf Alkhairy, Suryakanth V. Gangashetty, Sai Krishna Rallabandi, 2016, EURASIP J. Audio Speech Music. Process..

An investigation of recurrent neural network architectures for statistical parametric speech synthesis

Suryakanth V. Gangashetty, Sivanand Achanta, Tejas Godambe, 2015, INTERSPEECH.

Significance of DNN-AM for Multimodal Sentiment Analysis

Suryakanth V. Gangashetty, Manish Shrivastava, Harika Abburi, 2017, MIKE.

Text Independent Speaker Identification and Verification System Using Bessel Featuress

Suryakanth V. Gangashetty, Mayank Gupta, 2013 .

Analysis of constraints on segmental DTW for the task of query-by-example spoken term detection

Suryakanth V. Gangashetty, Sri Harsha Dumpala, Anil Kumar Vuppala, 2015, 2015 Annual IEEE India Conference (INDICON).

Acoustic-phonetic information from excitation source for refining manner hypotheses of a phone recognizer

Bayya Yegnanarayana, N. Dhananjaya, Suryakanth V. Gangashetty, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning continuous representation of text for phone duration modeling in statistical parametric speech synthesis

Suryakanth V. Gangashetty, Sai Krishna Rallabandi, Sai Sirisha Rallabandi, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

DEMONSTRATION OF A SPEECH BASED INTERFACE FOR ACCESSING PRICE INFORMATION OF AGRICULTURAL COMMODITIES OVER MOBILE PHONES

Kishore Prahallad, Suryakanth V. Gangashetty, B. Yegnanarayana, 2012 .

Support Vector Machines for Face Recognition

Suryakanth V. Gangashetty, K. S. Hareesha, V. Ramaswamy, 2005, IICAI.

Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image

B. Yegnanarayana, S. Palanivel, Suryakanth V. Gangashetty, 2002 .

A Study on Vowel Region Detection from a Continuous Speech

Suryakanth V. Gangashetty, Hari Krishna Vydana, Anil Kumar Vuppala, 2016, MIKE.

Sonority rise: Aiding backoff in syllable-based speech synthesis

Suryakanth V. Gangashetty, Ayushi Pandey, Tejas Godambe, 2016, 2016 Twenty Second National Conference on Communication (NCC).

A novel stacking technique for prediction of diabetes

Suryakanth V. Gangashetty, Satish Kumar Kalagotla, Kanuri Giridhar, 2021, Comput. Biol. Medicine.