Dirichlet process mixture models for clustering i-vector data. - Shreyas Seshadri; Ulpu Remes; Okko Räsänen (ICASSP, 2017)

Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs. - Ana Ramírez López; Shreyas Seshadri; Lauri Juvela; Okko Räsänen; Paavo Alku (INTERSPEECH, 2017)

Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing. - Shreyas Seshadri; Ulpu Remes; Okko Räsänen (INTERSPEECH, 2017)

Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions. - Okko Räsänen; Shreyas Seshadri; Marisa Casillas (INTERSPEECH, 2018)

Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion. - Shreyas Seshadri; Lauri Juvela; Junichi Yamagishi; Okko Räsänen; Paavo Alku (ICASSP, 2019)

Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion. - Shreyas Seshadri; Lauri Juvela; Paavo Alku; Okko Räsänen (INTERSPEECH, 2019)

Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning. - Shreyas Seshadri; Lauri Juvela; Okko Räsänen; Paavo Alku (IEEE Access, 2019)

Automatic word count estimation from daylong child-centered recordings in various language environments using language-independent syllabification of speech. - Okko Räsänen; Shreyas Seshadri; Julien Karadayi; Eric Riebling; John P. Bunce; Alejandrina Cristià; Florian Metze; Marisa Casillas; Celia Rosemberg; Elika Bergelson; Melanie Soderstrom (Speech Commun., 2019)

SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech. - Shreyas Seshadri; Okko Räsänen (IEEE Signal Process. Lett., 2019)

Hierarchical Prosody Modeling and Control in Non-Autoregressive Parallel Neural TTS. - Tuomo Raitio; Jiangchuan Li; Shreyas Seshadri (ICASSP, 2022)

Emphasis Control for Parallel Neural TTS. - Shreyas Seshadri; Tuomo Raitio; Dan Castellani; Jiangchuan Li (INTERSPEECH, 2022)