Statistical Pronunciation Adaptation for Spontaneous Speech Synthesis

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-319-64206-2_11
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer International Publishing

Related search

VTLN Adaptation for Statistical Speech Synthesis

2010English

Prediction of Pronunciation Variations for Speech Synthesis: A Data-Driven Approach

English

Audiovisual Synthesis of Exaggerated Speech for Corrective Feedback in Computer-Assisted Pronunciation Training

2013English

Continuous F0 Modeling for HMM Based Statistical Parametric Speech Synthesis

IEEE Transactions on Audio, Speech, and Language Processing
2011English

FST-Based Pronunciation Lexicon Compression for Speech Engines

International Journal of Advanced Robotic Systems
2012English

Unsupervised Speaker Adaptation for DNN-based Speech Synthesis Using Input Codes

2018English

GlottDNN — A Full-Band Glottal Vocoder for Statistical Parametric Speech Synthesis

2016English

Comparing Glottal-Flow-Excited Statistical Parametric Speech Synthesis Methods

2013English

Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy