Ramya Rasipuram

According to our database, Ramya Rasipuram authored at least 23 papers between 2011 and 2024.

Collaborative distances:

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

2024

Dialog Modeling in Audiobook Synthesis.

Cheng-chieh Yeh, Amirreza Shirani, Weicheng Zhang, Tuomo Raitio, Ramya Rasipuram, Ladan Golipour, David Winarsky

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Audiobook synthesis with long-form neural text-to-speech.

Weicheng Zhang, Cheng-chieh Yeh, Will Beckman, Tuomo Raitio, Ramya Rasipuram, Ladan Golipour, David Winarsky

Proceedings of the 12th ISCA Speech Synthesis Workshop, 2023

2021

On-Device Neural Speech Synthesis.

Sivanand Achanta, Albert Antony, Ladan Golipour, Jiangchuan Li, Tuomo Raitio, Ramya Rasipuram, Francesco Rossi, Jennifer Shi, Jaimin Upadhyay, David Winarsky, Hepeng Zhang

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Controllable Neural Text-to-Speech Synthesis Using Intuitive Prosodic Features.

Tuomo Raitio, Ramya Rasipuram, Dan Castellani

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2018

Towards weakly supervised acoustic subword unit discovery and lexicon development using hidden Markov models.

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss

Speech Commun., 2018

2017

Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System.

Tim Capes, Paul Coles, Alistair Conkie, Ladan Golipour, Abie Hadjitarkhani, Qiong Hu, Nancy Huddleston, Melvyn Hunt, Jiangchuan Li, Matthias Neeracher, Kishore Prahallad, Tuomo Raitio, Ramya Rasipuram, Greg Townsend, Becci Williamson, David Winarsky, Zhizheng Wu, Hepeng Zhang

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

2016

Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework.

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss

Speech Commun., 2016

Articulatory feature based continuous speech recognition using probabilistic lexical modeling.

Ramya Rasipuram, Mathew Magimai-Doss

Comput. Speech Lang., 2016

HMM-Based Non-Native Accent Assessment Using Posterior Features.

Ramya Rasipuram, Milos Cernak, Mathew Magimai-Doss

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Acoustic and lexical resource constrained ASR using language-independent acoustic model and language-dependent probabilistic lexical model.

Ramya Rasipuram, Mathew Magimai-Doss

Speech Commun., 2015

Objective intelligibility assessment of text-to-speech systems through utterance verification.

Raphael Ullmann, Ramya Rasipuram, Mathew Magimai-Doss, Hervé Bourlard

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Automatic accentedness evaluation of non-native speech using phonetic and sub-phonetic posterior probabilities.

Ramya Rasipuram, Milos Cernak, Alexandre Nanchen, Mathew Magimai-Doss

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling.

Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches.

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Improving grapheme-based ASR by probabilistic lexical modeling approach.

Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic.

Ramya Rasipuram, Peter Bell, Mathew Magimai-Doss

Proceedings of the IEEE International Conference on Acoustics, 2013

Probabilistic lexical modeling and unsupervised training for zero-resourced ASR.

Ramya Rasipuram, Marzieh Razavi, Mathew Magimai-Doss

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation.

Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Acoustic data-driven grapheme-to-phoneme conversion using KL-HMM.

Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Grapheme-Based Automatic Speech Recognition Using KL-HMM.

Mathew Magimai-Doss, Ramya Rasipuram, Guillermo Aradilla, Hervé Bourlard

Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition.

Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the IEEE International Conference on Acoustics, 2011

Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning.

Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition.

David Imseng, Ramya Rasipuram, Mathew Magimai-Doss

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011