An empirical text transformation method for spontaneous speech synthesizers. - Shiva Sundaram; Shrikanth S. Narayanan (INTERSPEECH, 2003)

Vector-based Representation and Clustering of Audio Using Onomatopoeia Words. - Shiva Sundaram; Shrikanth S. Narayanan (AAAI Fall Symposium: Aurally Informed Performance, 2006)

Speech Recognition Engineering Issues in Speech to Speech Translation System Design for Low Resource Languages and Domains. - Shrikanth S. Narayanan; Panayiotis G. Georgiou; Abhinav Sethy; Dagen Wang; Murtaza Bulut; Shiva Sundaram; Emil Ettelaie; Sankaranarayanan Ananthakrishnan; Horacio Franco; Kristin Precoda; Dimitra Vergyri; Jing Zheng 001; et al. (ICASSP (5), 2006)

An attribute-based approach to audio description applied to segmenting vocal sections in popular music songs. - Shiva Sundaram; Shrikanth S. Narayanan (MMSP, 2006)

Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique. - Shiva Sundaram; Shrikanth S. Narayanan (ICASSP (1), 2007)

Analysis of Audio Clustering using Word Descriptions. - Shiva Sundaram; Shrikanth S. Narayanan (ICASSP (2), 2007)

Experiments in Automatic Genre Classification of Full-length Music Tracks using Audio Activity Rate. - Shiva Sundaram; Shrikanth S. Narayanan (MMSP, 2007)

Audio retrieval by latent perceptual indexing. - Shiva Sundaram; Shrikanth S. Narayanan (ICASSP, 2008)

Classification of sound clips by two schemes: Using onomatopoeia and semantic labels. - Shiva Sundaram; Shrikanth S. Narayanan (ICME, 2008)

A divide-and-conquer approach to Latent Perceptual Indexing of audio for large Web 2.0 applications. - Shiva Sundaram; Shrikanth S. Narayanan (ICME, 2009)

Emotion classification in children's speech using fusion of acoustic and linguistic features. - Tim Polzehl; Shiva Sundaram; Hamed Ketabdar; Michael Wagner 004; Florian Metze (INTERSPEECH, 2009)

Saliency-driven unstructured acoustic scene classification using latent perceptual indexing. - Ozlem Kalinli; Shiva Sundaram; Shrikanth S. Narayanan (MMSP, 2009)

Acoustic topic model for audio information retrieval. - Samuel Kim; Shrikanth S. Narayanan; Shiva Sundaram (WASPAA, 2009)

Acoustic stopwords for unstructured audio information retrieval. - Samuel Kim; Shiva Sundaram; Panayiotis G. Georgiou; Shrikanth S. Narayanan (EUSIPCO, 2010)

Clustering audio clips by context-free description and affective ratings. - Shiva Sundaram; Robert Schleicher; Julia Seebode (EUSIPCO, 2010)

Using naïve text queries for robust audio information retrieval. - Samuel Kim; Panayiotis G. Georgiou; Shrikanth S. Narayanan; Shiva Sundaram (ICASSP, 2010)

Towards evaluation of example-based audio retrieval system using affective dimensions. - Shiva Sundaram; Robert Schleicher (ICME, 2010)

Latent perceptual mapping: a new acoustic modeling framework for speech recognition. - Shiva Sundaram; Jerome R. Bellegarda (INTERSPEECH, 2010)

An N-gram model for unstructured audio signals toward information retrieval. - Samuel Kim; Shiva Sundaram; Panayiotis G. Georgiou; Shrikanth S. Narayanan (MMSP, 2010)

A demonstration of automatic recognition of 'yes' or 'no' non-lexical verbal responses for speech-based interaction. - Shiva Sundaram; Robert Schleicher; Nathalie Diehl (SLT, 2010)

Experiments in context-independent recognition of non-lexical 'yes' or 'no' responses. - Shiva Sundaram; Robert Schleicher; Nathalie Diehl (ICASSP, 2011)

Hotflashes: Thumbnailing videos of social gatherings by detecting camera flash illuminated frames. - Shiva Sundaram; Vladan Velisavljevic; Yujie Qin (ICME, 2011)

Towards the influence of vibration on evaluation of speech utterances in mobile devices. - Henrik von Coler; Shiva Sundaram; Robert Schleicher; Gabriel Curio (WASPAA, 2011)

Latent perceptual mapping with data-driven variable-length acoustic units for template-based speech recognition. - Shiva Sundaram; Jerome R. Bellegarda (ICASSP, 2012)

Exemplar-Based Processing for Speech Recognition: An Overview. - Tara N. Sainath; Bhuvana Ramabhadran; David Nahamoo; Dimitri Kanevsky; Dirk Van Compernolle; Kris Demuynck; Jort F. Gemmeke; Jerome R. Bellegarda; Shiva Sundaram (IEEE Signal Process. Mag., 2012)

Affective classification of generic audio clips using regression models. - Nikos Malandrakis; Shiva Sundaram; Alexandros Potamianos (INTERSPEECH, 2013)

An Overview on Perceptually Motivated Audio Indexing and Classification. - Gaël Richard; Shiva Sundaram; Shrikanth S. Narayanan (Proc. IEEE, 2013)

Detecting Media Sound Presence in Acoustic Scenes. - Constantinos Papayiannis; Justice Amoh; Viktor Rozgic; Shiva Sundaram; Chao Wang 018 (INTERSPEECH, 2018)

Multi-geometry Spatial Acoustic Modeling for Distant Speech Recognition. - Ken'ichi Kumatani; Minhua Wu; Shiva Sundaram; Nikko Ström; Björn Hoffmeister (ICASSP, 2019)

Improving Noise Robustness of Automatic Speech Recognition via Parallel Data and Teacher-student Learning. - Ladislav Mosner; Minhua Wu; Anirudh Raju; Sree Hari Krishnan Parthasarathi; Ken'ichi Kumatani; Shiva Sundaram; Roland Maas; Björn Hoffmeister (ICASSP, 2019)

Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition. - Minhua Wu; Ken'ichi Kumatani; Shiva Sundaram; Nikko Ström; Björn Hoffmeister (ICASSP, 2019)

Multimodal and Multiresolution Speech Recognition with Transformers. - Georgios Paraskevopoulos; Srinivas Parthasarathy; Aparna Khare; Shiva Sundaram (ACL, 2020)

Robust Multi-Channel Speech Recognition Using Frequency Aligned Network. - Taejin Park; Ken'ichi Kumatani; Minhua Wu; Shiva Sundaram (ICASSP, 2020)

Fully Learnable Front-End for Multi-Channel Acoustic Modeling Using Semi-Supervised Learning. - Sanna Wager; Aparna Khare; Minhua Wu; Ken'ichi Kumatani; Shiva Sundaram (ICASSP, 2020)

Training Strategies to Handle Missing Modalities for Audio-Visual Expression Recognition. - Srinivas Parthasarathy; Shiva Sundaram (ICMI Companion, 2020)

Multi-Modal Embeddings Using Multi-Task Learning for Emotion Recognition. - Aparna Khare; Srinivas Parthasarathy; Shiva Sundaram (INTERSPEECH, 2020)

Multi-channel Acoustic Modeling using Mixed Bitrate OPUS Compression. - Aparna Khare; Shiva Sundaram; Minhua Wu (CoRR, 2020)

Multiresolution and Multimodal Speech Recognition with Transformers. - Georgios Paraskevopoulos; Srinivas Parthasarathy; Aparna Khare; Shiva Sundaram (CoRR, 2020)

Audiovisual Highlight Detection in Videos. - Karel Mundnich; Alexandra Fenster; Aparna Khare; Shiva Sundaram (ICASSP, 2021)

Disentanglement for Audio-Visual Emotion Recognition Using Multitask Setup. - Raghuveer Peri; Srinivas Parthasarathy; Charles Bradshaw; Shiva Sundaram (ICASSP, 2021)

Self-Supervised Learning with Cross-Modal Transformers for Emotion Recognition. - Aparna Khare; Srinivas Parthasarathy; Shiva Sundaram (SLT, 2021)

Detecting Expressions with Multimodal Transformers. - Srinivas Parthasarathy; Shiva Sundaram (SLT, 2021)

Enhancing Contrastive Learning with Temporal Cognizance for Audio-Visual Representation Generation. - Chandrashekhar Lavania; Shiva Sundaram; Sundararajan Srinivasan; Katrin Kirchhoff (ICASSP, 2022)

Scene Representation Learning from Videos Using Self-Supervised and Weakly-Supervised Techniques. - Raghuveer Peri; Srinivas Parthasarathy; Shiva Sundaram (ICIP, 2022)

Multi-Scale Compositional Constraints for Representation Learning on Videos. - Georgios Paraskevopoulos; Chandrashekhar Lavania; Lovish Chum; Shiva Sundaram (ICASSP, 2023)