Shreyas Seshadri

According to our database, Shreyas Seshadri authored at least 11 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Emphasis Control for Parallel Neural TTS.

Shreyas Seshadri, Tuomo Raitio, Dan Castellani, Jiangchuan Li

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Hierarchical Prosody Modeling and Control in Non-Autoregressive Parallel Neural TTS.

Tuomo Raitio, Jiangchuan Li, Shreyas Seshadri

Proceedings of the IEEE International Conference on Acoustics, 2022

2019

SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech.

Shreyas Seshadri, Okko Räsänen

IEEE Signal Process. Lett., 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

Vocal Effort Based Speaking Style Conversion Using Vocoder Features and Parallel Learning.

Shreyas Seshadri, Lauri Juvela, Okko Räsänen, Paavo Alku

IEEE Access, 2019

Augmented CycleGANs for Continuous Scale Normal-to-Lombard Speaking Style Conversion.

Shreyas Seshadri, Lauri Juvela, Paavo Alku, Okko Räsänen

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion.

Shreyas Seshadri, Lauri Juvela, Junichi Yamagishi, Okko Räsänen, Paavo Alku

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Comparison of Syllabification Algorithms and Training Strategies for Robust Word Count Estimation across Different Languages and Recording Conditions.

Okko Räsänen, Shreyas Seshadri, Marisa Casillas

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing.

Shreyas Seshadri, Ulpu Remes, Okko Räsänen

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 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

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Dirichlet process mixture models for clustering i-vector data.

Shreyas Seshadri, Ulpu Remes, Okko Räsänen

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017