Ramya Rasipuram

发表

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

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2016, Speech Commun..

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

Zhizheng Wu, Tuomo Raitio, Kishore Prahallad, 2017, INTERSPEECH.

HMM-Based Non-Native Accent Assessment Using Posterior Features

Milos Cernak, Ramya Rasipuram, Mathew Magimai-Doss, 2016, INTERSPEECH.

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

Ramya Rasipuram, Mathew Magimai-Doss, 2015, Speech Commun..

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

Ramya Rasipuram, Mathew Magimai-Doss, 2012, INTERSPEECH.

Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai.-Doss, 2015 .

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

Ramya Rasipuram, Mathew Magimai-Doss, Peter Bell, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

KL-HMM and Probabilistic Lexical Modeling

Ramya Rasipuram, Mathew Magimai.-Doss, Ramya Rasipuram, 2013 .

On the Application of Automatic Subword Unit Derivation and Pronunciation Generation for Under-Resourced Language ASR: A Study on Scottish Gaelic

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai.-Doss, 2015 .

Grapheme-based Automatic Speech Recognition using Probabilistic Lexical Modeling

Ramya Rasipuram, 2014 .

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

Milos Cernak, Ramya Rasipuram, Mathew Magimai-Doss, 2015, INTERSPEECH.

Probabilistic lexical modeling and unsupervised training for zero-resourced ASR

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

On Learning Grapheme-to-Phoneme Relationships through the Acoustic Speech Signal

Ramya Rasipuram, Mathew Magimai.-Doss, 2014 .

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

Ramya Rasipuram, Mathew Magimai-Doss, David Imseng, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Improving grapheme-based ASR by probabilistic lexical modeling approach

Ramya Rasipuram, Mathew Magimai-Doss, 2013, INTERSPEECH.

Grapheme-Based Automatic Speech Recognition Using KL-HMM

Hervé Bourlard, Guillermo Aradilla, Ramya Rasipuram, 2011, INTERSPEECH.

Controllable neural text-to-speech synthesis using intuitive prosodic features

Tuomo Raitio, Ramya Rasipuram, Dan Castellani, 2020, INTERSPEECH.

MULTITASK LEARNING TO IMPROVE ARTICULATORY FEATURE ESTIMATION AND PHONEME RECOGNITION

Ramya Rasipuram, Mathew Magimai.-Doss, 2011 .

Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition

Ramya Rasipuram, Mathew Magimai.-Doss, Ramya Rasipuram, 2013 .

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

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2018, Speech Commun..

Articulatory feature based continuous speech recognition using probabilistic lexical modeling

Ramya Rasipuram, Mathew Magimai-Doss, 2016, Comput. Speech Lang..

Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai.-Doss, 2015 .

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

Ramya Rasipuram, Mathew Magimai-Doss, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Hervé Bourlard, Ramya Rasipuram, Mathew Magimai-Doss, 2015, INTERSPEECH.

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

Ramya Rasipuram, Mathew Magimai-Doss, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning

Ramya Rasipuram, Mathew Magimai-Doss, 2011, ICANN.

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

Marzieh Razavi, Ramya Rasipuram, Mathew Magimai-Doss, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On-Device Neural Speech Synthesis pdf

Tuomo Raitio, Ramya Rasipuram, Ladan Golipour, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).