Resolving the components of transient signals by a multistage procedure. - Srinivasan Umesh; Donald W. Tufts (ICASSP, 1992)

Computationally efficient estimation of sinusoidal frequency at low SNR. - Srinivasan Umesh; Douglas J. Nelson (ICASSP, 1996)

Frequency-warping in speech. - Srinivasan Umesh; Leon Cohen; Nenad Marinovic; Douglas J. Nelson (ICSLP, 1996)

Estimation of parameters of exponentially damped sinusoids using fast maximum likelihood estimation with application to NMR spectroscopy data. - Srinivasan Umesh; Donald W. Tufts (IEEE Trans. Signal Process., 1996)

Frequency-warping and speaker-normalization. - Srinivasan Umesh; Leon Cohen; Douglas J. Nelson (ICASSP, 1997)

Improved scale-cepstral analysis in speech. - Srinivasan Umesh; Leon Cohen; Douglas J. Nelson (ICASSP, 1998)

Fitting the Mel scale. - Srinivasan Umesh; Leon Cohen; Douglas J. Nelson (ICASSP, 1999)

Scale transform in speech analysis. - Srinivasan Umesh; Leon Cohen; Nenad Marinovic; Douglas J. Nelson (IEEE Trans. Speech Audio Process., 1999)

Exploiting frequency-scaling invariance properties of the scale transform for automatic speech recognition. - Srinivasan Umesh; Richard C. Rose; Sarangarajan Parthasarathy (INTERSPEECH, 2000)

Non-uniform scaling based speaker normalization. - Rohit Sinha 003; Srinivasan Umesh (ICASSP, 2002)

A simple approach to non-uniform vowel normalization. - Srinivasan Umesh; S. V. Bharath Kumar; M. K. Vinay; Rajesh Sharma; Rohit Sinha 003 (ICASSP, 2002)

Frequency warping and the Mel scale. - Srinivasan Umesh; Leon Cohen; Douglas J. Nelson (IEEE Signal Process. Lett., 2002)

A method for compensation of Jacobian in speaker normalization. - Rohit Sinha 003; Srinivasan Umesh (ICASSP (1), 2003)

Non-uniform speaker normalization using affine-transformation. - S. V. Bharath Kumar; Srinivasan Umesh; Rohit Sinha 003 (ICASSP (1), 2004)

An investigation into front-end signal processing for speaker normalization. - Srinivasan Umesh; Rohit Sinha 003; S. V. Bharath Kumar (ICASSP (1), 2004)

Using VTLN for broadcast news transcription. - Do Yeong Kim; Srinivasan Umesh; Mark J. F. Gales; Thomas Hain; Philip C. Woodland (INTERSPEECH, 2004)

Implementing frequency-warping and VTLN through linear transformation of conventional MFCC. - Srinivasan Umesh; András Zolnay; Hermann Ney (INTERSPEECH, 2005)

Study Of Non-Linear Frequency Warping Functions For Speaker Normalization. - S. V. Bharath Kumar; Srinivasan Umesh; Rohit Sinha 003 (ICASSP (1), 2006)

Vtln Warping Factor Estimation Using Accumulation of Sufficient Statistics. - Jonas Lööf; Hermann Ney; Srinivasan Umesh (ICASSP (1), 2006)

Speaker-Invariant Features for Automatic Speech Recognition. - Srinivasan Umesh; D. Rama Sanand; G. Praveen (IJCAI, 2007)

Linear transformation approach to VTLN using dynamic frequency warping. - D. Rama Sanand; D. Dinesh Kumar; Srinivasan Umesh (INTERSPEECH, 2007)

A Study of Filter Bank Smoothing in MFCC Features for Recognition of Children's Speech. - Srinivasan Umesh; Rohit Sinha 003 (IEEE Trans. Speech Audio Process., 2007)

A computationally efficient approach to warp factor estimation in VTLN using EM algorithm and sufficient statistics. - P. T. Akhil; Shakti Prasad Rath; Srinivasan Umesh; D. Rama Sanand (INTERSPEECH, 2008)

Use of spectral centre of gravity for generating speaker invariant features for automatic speech recognition. - D. Rama Sanand; V. Balaji; Rani R. Sandhya; Srinivasan Umesh (INTERSPEECH, 2008)

Study of jacobian compensation using linear transformation of conventional MFCC for VTLN. - D. Rama Sanand; Srinivasan Umesh (INTERSPEECH, 2008)

A shift-based approach to speaker normalization using non-linear frequency-scaling model. - Rohit Sinha 003; Srinivasan Umesh (Speech Commun., 2008)

Improving the performance of VTLN under mismatched speaker conditions and making it approach that of matched speaker conditions. - D. Rama Sanand; Shakti Prasad Rath; Srinivasan Umesh (ICASSP, 2009)

Characterizing speaker variability using spectral envelopes of vowel sounds. - A. N. Harish; D. Rama Sanand; Srinivasan Umesh (INTERSPEECH, 2009)

Acoustic class specific VTLN-warping using regression class trees. - Shakti Prasad Rath; Srinivasan Umesh (INTERSPEECH, 2009)

Using VTLN matrices for rapid and computationally-efficient speaker adaptation with robustness to first-pass transcription errors. - Shakti Prasad Rath; Srinivasan Umesh; Achintya Kumar Sarkar (INTERSPEECH, 2009)

A study on the influence of covariance adaptation on jacobian compensation in vocal tract length normalization. - D. Rama Sanand; Shakti Prasad Rath; Srinivasan Umesh (INTERSPEECH, 2009)

Text-independent speaker identification using vocal tract length normalization for building universal background model. - Achintya Kumar Sarkar; Srinivasan Umesh; Shakti Prasad Rath (INTERSPEECH, 2009)

Fast computation of speaker characterization vector using MLLR and sufficient statistics in anchor model framework. - Achintya Kumar Sarkar; Srinivasan Umesh (INTERSPEECH, 2010)

Investigation of Speaker-Clustered UBMs based on Vocal Tract Lengths and MLLR matrices for Speaker Verification. - Achintya Kumar Sarkar; Srinivasan Umesh (Odyssey, 2010)

Computationally Efficient Speaker Identification for Large Population Tasks using MLLR and Sufficient Statistics. - Achintya Kumar Sarkar; Srinivasan Umesh; Shakti Prasad Rath (Odyssey, 2010)

Use of VTL-wise models in feature-mapping framework to achieve performance of multiple-background models in speaker verification. - Achintya Kumar Sarkar; Srinivasan Umesh (ICASSP, 2011)

Efficient Speaker and Noise Normalization for Robust Speech Recognition. - Vikas Joshi; Raghavendra Bilgi; Srinivasan Umesh; M. Carmen Benítez; Luz García 001 (INTERSPEECH, 2011)

Sub-Band Level Histogram Equalization for Robust Speech Recognition. - Vikas Joshi; Raghavendra Bilgi; Srinivasan Umesh; Luz García 001; M. Carmen Benítez (INTERSPEECH, 2011)

Eigen-Voice Based Anchor Modeling System for Speaker Identification Using MLLR Super-Vector. - Achintya Kumar Sarkar; Srinivasan Umesh (INTERSPEECH, 2011)

Robust speech recognition through selection of speaker and environment transforms. - Raghavendra Bilgi; Vikas Joshi; Srinivasan Umesh; Luz García Martínez; M. Carmen Benítez Ortúzar (ICASSP, 2012)

Noise and speaker compensation in the Log filter bank domain. - Vikas Joshi; Raghavendra Bilgi; Srinivasan Umesh; Luz García Martínez; M. Carmen Benítez Ortúzar (ICASSP, 2012)

Computationally efficient speaker identification using fast-MLLR based anchor modeling. - Achintya Kumar Sarkar; Srinivasan Umesh; Jean-François Bonastre (ICASSP, 2012)

Subspace based for Indian languages. - Aanchan Mohan; Srinivasan Umesh; Richard C. Rose (ISSPA, 2012)

Multiple background models for speaker verification using the concept of vocal tract length and MLLR super-vector. - Achintya Kumar Sarkar; Srinivasan Umesh (Int. J. Speech Technol., 2012)

VTLN Using Analytically Determined Linear-Transformation on Conventional MFCC. - D. Rama Sanand; Srinivasan Umesh (IEEE Trans. Speech Audio Process., 2012)

Modified splice and its extension to non-stereo data for noise robust speech recognition. - D. S. Pavan Kumar; N. Vishnu Prasad; Vikas Joshi; Srinivasan Umesh (ASRU, 2013)

Acoustic modeling using transform-based phone-cluster adaptive training. - Vimal Manohar; Srinivas C. Bhargav; Srinivasan Umesh (ASRU, 2013)

Improved cepstral mean and variance normalization using Bayesian framework. - N. Vishnu Prasad; Srinivasan Umesh (ASRU, 2013)

Modified cepstral mean normalization - transforming to utterance specific non-zero mean. - Vikas Joshi; N. Vishnu Prasad; Srinivasan Umesh (INTERSPEECH, 2013)

Cross-lingual acoustic modeling for Indian languages based on Subspace Gaussian Mixture Models. - Neethu Mariam Joy; Basil Abraham; K. Navneeth; Srinivasan Umesh (NCC, 2014)

Experiments on front-end techniques and segmentation model for robust Indian Language speech recognizer. - R. Sriranjani; Murali Karthick Baskar; Srinivasan Umesh (NCC, 2014)

Improving deep neural networks using state projection vectors of subspace Gaussian mixture model as features. - Murali Karthick B; Srinivasan Umesh (SLT, 2014)

Acoustic modelling for speech recognition in Indian languages in an agricultural commodities task domain. - Aanchan Mohan; Richard C. Rose; Sina Hamidi Ghalehjegh; Srinivasan Umesh (Speech Commun., 2014)

Speaker adaptation of convolutional neural network using speaker specific subspace vectors of SGMM. - Murali Karthick B; Prateek Kolhar; Srinivasan Umesh (INTERSPEECH, 2015)

Investigation of different acoustic modeling techniques for low resource Indian language data. - R. Sriranjani; Murali Karthick B; Srinivasan Umesh (NCC, 2015)

Improved acoustic modeling for automatic dysarthric speech recognition. - R. Sriranjani; M. Ramasubba Reddy; Srinivasan Umesh (NCC, 2015)

Pronunciation Adaptation For Disordered Speech Recognition Using State-Specific Vectors of Phone-Cluster Adaptive Training. - R. Sriranjani; Srinivasan Umesh; M. Ramasubba Reddy (SLPAT@Interspeech, 2015)

Sub-band based histogram equalization in cepstral domain for speech recognition. - Vikas Joshi; Raghavendra Bilgi; Srinivasan Umesh; Luz García 001; M. Carmen Benítez (Speech Commun., 2015)

Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition. - Basil Abraham; Srinivasan Umesh; Neethu Mariam Joy (INTERSPEECH, 2016)

Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages. - Basil Abraham; Srinivasan Umesh; Neethu Mariam Joy (INTERSPEECH, 2016)

DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data. - Neethu Mariam Joy; Murali Karthick Baskar; Srinivasan Umesh; Basil Abraham (INTERSPEECH, 2016)

Improved phone-cluster adaptive training acoustic model. - Neethu Mariam Joy; Srinivasan Umesh; Basil Abraham; K. Navneeth (SPCOM, 2016)

Modified Mean and Variance Normalization: Transforming to Utterance-Specific Estimates. - Vikas Joshi; N. Vishnu Prasad; Srinivasan Umesh (Circuits Syst. Signal Process., 2016)

Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages. - Basil Abraham; Tejaswi Seeram; Srinivasan Umesh (INTERSPEECH, 2017)

Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages. - Basil Abraham; Srinivasan Umesh; Neethu Mariam Joy (INTERSPEECH, 2017)

Generalized Distillation Framework for Speaker Normalization. - Neethu Mariam Joy; Sandeep Reddy Kothinti; Srinivasan Umesh; Basil Abraham (INTERSPEECH, 2017)

On Improving Acoustic Models for TORGO Dysarthric Speech Database. - Neethu Mariam Joy; Srinivasan Umesh; Basil Abraham (INTERSPEECH, 2017)

DNN acoustic models for dysarthric speech. - Seeram Tejaswi; Srinivasan Umesh (NCC, 2017)

Addressing data sparsity in DNN acoustic modeling. - Seeram Tejaswi; Srinivasan Umesh (NCC, 2017)

An automated technique to generate phone-to-articulatory label mapping. - Basil Abraham; Srinivasan Umesh (Speech Commun., 2017)

DNNs for unsupervised extraction of pseudo speaker-normalized features without explicit adaptation data. - Neethu Mariam Joy; Murali Karthick Baskar; Srinivasan Umesh (Speech Commun., 2017)

Correlational Networks for Speaker Normalization in Automatic Speech Recognition. - Rini A. Sharon; Sandeep Reddy Kothinti; Srinivasan Umesh (INTERSPEECH, 2018)

Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition. - Vishwas M. Shetty; Rini A. Sharon; Basil Abraham; Tejaswi Seeram; Anusha Prakash 001; Nithya Ravi; Srinivasan Umesh (INTERSPEECH, 2018)

Investigating the Effect of Audio Duration on Dementia Detection Using Acoustic Features. - Jochen Weiner; Miguel Angrick; Srinivasan Umesh; Tanja Schultz (INTERSPEECH, 2018)

FMLLR Speaker Normalization With i-Vector: In Pseudo-FMLLR and Distillation Framework. - Neethu Mariam Joy; Sandeep Reddy Kothinti; Srinivasan Umesh (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Building Multilingual End-to-End Speech Synthesisers for Indian Languages. - Anusha Prakash 001; Anju Leela Thomas; Srinivasan Umesh; Hema A. Murthy (SSW, 2019)

Investigation of Methods to Improve the Recognition Performance of Tamil-English Code-Switched Data in Transformer Framework. - Metilda Sagaya Mary N. J; Vishwas M. Shetty; Srinivasan Umesh (ICASSP, 2020)

Improving the Performance of Transformer Based Low Resource Speech Recognition for Indian Languages. - Vishwas M. Shetty; Metilda Sagaya Mary N. J; Srinivasan Umesh (ICASSP, 2020)

Investigation of Speaker-adaptation methods in Transformer based ASR. - Vishwas M. Shetty; Metilda Sagaya Mary N. J; Srinivasan Umesh (CoRR, 2020)

S-vectors: Speaker Embeddings based on Transformer's Encoder for Text-Independent Speaker Verification. - Metilda Sagaya Mary N. J; Sandesh V. Katta; Srinivasan Umesh (CoRR, 2020)

Exploring the use of Common Label Set to Improve Speech Recognition of Low Resource Indian Languages. - Vishwas M. Shetty; Srinivasan Umesh (ICASSP, 2021)

Deep Clustering For General-Purpose Audio Representations. - Sreyan Ghosh; Sandesh V. Katta; Ashish Seth; Srinivasan Umesh (CoRR, 2021)

Investigation of Robustness of Hubert Features from Different Layers to Domain, Accent and Language Variations. - Pratik Kumar; Vrunda N. Sukhadia; Srinivasan Umesh (ICASSP, 2022)

Investigation of Ensemble features of Self-Supervised Pretrained Models for Automatic Speech Recognition. - A. Arunkumar; Vrunda Nileshkumar Sukhadia; Srinivasan Umesh (INTERSPEECH, 2022)

Joint Encoder-Decoder Self-Supervised Pre-training for ASR. - A. Arunkumar; Srinivasan Umesh (INTERSPEECH, 2022)

Gram Vaani ASR Challenge on spontaneous telephone speech recordings in regional variations of Hindi. - Anish Bhanushali; Grant Bridgman; Deekshitha G; Prasanta Kumar Ghosh; Pratik Kumar; Saurabh Kumar; Adithya Raj Kolladath; Nithya Ravi; Aaditeshwar Seth; Ashish Seth; Abhayjeet Singh; Vrunda N. Sukhadia; et al. (INTERSPEECH, 2022)

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances. - Sreyan Ghosh; Sonal Kumar; Yaman Kumar 001; Rajiv Ratn Shah; Srinivasan Umesh (INTERSPEECH, 2022)

DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances. - Sreyan Ghosh; Samden Lepcha; Sakshi Singh; Rajiv Ratn Shah; Srinivasan Umesh (INTERSPEECH, 2022)

CCC-WAV2VEC 2.0: Clustering AIDED Cross Contrastive Self-Supervised Learning of Speech Representations. - Vasista Sai Lodagala; Sreyan Ghosh; Srinivasan Umesh (SLT, 2022)

PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations. - Vasista Sai Lodagala; Sreyan Ghosh; Srinivasan Umesh (SLT, 2022)

Domain Adaptation of Low-Resource Target-Domain Models Using Well-Trained ASR Conformer Models. - Vrunda N. Sukhadia; Srinivasan Umesh (SLT, 2022)

DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning. - Sreyan Ghosh; Ashish Seth; Srinivasan Umesh (CoRR, 2022)

MMER: Multimodal Multi-task learning for Emotion Recognition in Spoken Utterances. - Harshvardhan Srivastava; Sreyan Ghosh; Srinivasan Umesh (CoRR, 2022)

A Discourse Aware Sequence Learning Approach for Emotion Recognition in Conversations. - Sreyan Ghosh; Harshvardhan Srivastava; Srinivasan Umesh (CoRR, 2022)

PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations. - Lodagala V. S. V. Durga Prasad; Sreyan Ghosh; Srinivasan Umesh (CoRR, 2022)

Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition. - Lodagala Durga Prasad; Ashish Seth; Sreyan Ghosh; Srinivasan Umesh (CoRR, 2022)

Channel-Aware Pretraining of Joint Encoder-Decoder Self-Supervised Model for Telephonic-Speech ASR. - Vrunda N. Sukhadia; A. Arunkumar; Srinivasan Umesh (CoRR, 2022)

Decorrelating Feature Spaces for Learning General-Purpose Audio Representations. - Sreyan Ghosh; Ashish Seth; Srinivasan Umesh (IEEE J. Sel. Top. Signal Process., 2022)

S-Vectors and TESA: Speaker Embeddings and a Speaker Authenticator Based on Transformer Encoder. - Narla John Metilda Sagaya Mary; Srinivasan Umesh; Sandesh Varadaraju Katta (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Towards Developing State-of-The-Art TTS Synthesisers for 13 Indian Languages with Signal Processing Aided Alignments. - Anusha Prakash 001; Srinivasan Umesh; Hema A. Murthy (ASRU, 2023)

MAST: Multiscale Audio Spectrogram Transformers. - Sreyan Ghosh; Ashish Seth; Srinivasan Umesh; Dinesh Manocha (ICASSP, 2023)

Data2vec-Aqc: Search for the Right Teaching Assistant in the Teacher-Student Training Setup. - Vasista Sai Lodagala; Sreyan Ghosh; Srinivasan Umesh (ICASSP, 2023)

Unfused: Unsupervised Finetuning Using Self Supervised Distillation. - Ashish Seth; Sreyan Ghosh; Srinivasan Umesh; Dinesh Manocha (ICASSP Workshops, 2023)

SLICER: Learning Universal Audio Representations Using Low-Resource Self-Supervised Pre-Training. - Ashish Seth; Sreyan Ghosh; Srinivasan Umesh; Dinesh Manocha (ICASSP, 2023)

Channel-Aware Pretraining Of Joint Encoder-Decoder Self-Supervised Model For Telephonic-Speech ASR. - Vrunda N. Sukhadia; Srinivasan Umesh (ICASSP Workshops, 2023)

Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages. - Anusha Prakash 001; Arun Kumar A; Ashish Seth; Bhagyashree Mukherjee; Ishika Gupta; Jom Kuriakose; Jordan Fernandes; K. V. Vikram; Mano Ranjith Kumar M.; Metilda Sagaya Mary; Mohammad Wajahat; Mohana N; et al. (INTERSPEECH, 2023)

The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR. - Kaousheik Jayakumar; Vrunda N. Sukhadia; Arun Kumar A; Srinivasan Umesh (INTERSPEECH, 2023)

SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis. - Ramanan Sivaguru; Vasista Sai Lodagala; Srinivasan Umesh (INTERSPEECH, 2023)

The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR. - Kaousheik Jayakumar; Vrunda N. Sukhadia; A. Arunkumar; Srinivasan Umesh (CoRR, 2023)

Stable Distillation: Regularizing Continued Pre-Training for Low-Resource Automatic Speech Recognition. - Ashish Seth; Sreyan Ghosh; Srinivasan Umesh; Dinesh Manocha (ICASSP, 2024)

FusDom: Combining in-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised Learning. - Ashish Seth; Sreyan Ghosh; Srinivasan Umesh; Dinesh Manocha (ICASSP, 2024)

All Ears: Building Self-Supervised Learning based ASR models for Indian Languages at scale. - Vasista Sai Lodagala; Abhishek Biswas; Shoutrik Das; Jordan Fernandes; Srinivasan Umesh (INTERSPEECH, 2024)

Lite ASR Transformer: A Light Weight Transformer Architecture For Automatic Speech Recognition. - Narla John Metilda Sagaya Mary; Srinivasan Umesh (SLT, 2024)

SPRING Lab IITM's Submission to Low Resource Indic Language Translation Shared Task. - Advait Joglekar; Hamees Ul Hasan Sayed; Srinivasan Umesh (WMT, 2024)

On the relationship between speech and hearing. - Srinivasan Umesh; Leon Cohen; Douglas J. Nelson (CoRR, 2024)

Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages. - Advait Joglekar; Srinivasan Umesh (CoRR, 2024)

EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion. - Advait Joglekar; Divyanshu Singh; Rooshil Rohit Bhatia; Srinivasan Umesh (CoRR, 2025)

Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching. - Shoutrik Das; Nishant Singh; Arjun Gangwar; Srinivasan Umesh (CoRR, 2025)