Detecting Emphasised Spoken Words by Considering Them Prosodic Outliers and Taking Advantage of HMM-Based TTS Framework 梁晖 (Hui LIANG) Speech Processing Group, Computer Engineering & Networks Lab, ETH Z¨urich, Switz

Source URL: www.tik.ee.ethz.ch

• Phonology
• Phonetics
• Computational linguistics
• Prosody
• Systemic functional linguistics
• Speech recognition
• Speech synthesis
• Deep learning
• Prosodic unit
• Intonation
• Hidden Markov model
• Stress

HMM-Based Efficient Sketch Recognition Tevfik Metin Sezgin and Randall Davis MIT Computer Science and Artificial Intelligence Laboratory 77 Massachusetts Ave, Cambridge MA 02139 {mtsezgin,davis}@csail.mit.edu

Source URL: rationale.csail.mit.edu

Vol. 18 SupplPages S46–S53 BIOINFORMATICS A sequence-profile-based HMM for predicting and

Source URL: people.binf.ku.dk

HMM-Based Efficient Sketch Recognition 1 Tevfik Metin Sezgin and Randall Davis MIT Computer Science and Artificial Intelligence Laboratory

Source URL: rationale.csail.mit.edu

A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction Phil Blunsom Department of Computer Science University of Oxford

Source URL: anthology.aclweb.org

BIOINFORMATICS Vol. 20 no, pages 3613–3619 doi:bioinformatics/bth454 Training HMM structure with genetic algorithm

Source URL: people.binf.ku.dk

The HMM-based Speech Synthesis System (HTS) Version 2.0 Heiga Zen1 , Takashi Nose2 , Junichi Yamagishi23 , Shinji Sako14 , Takashi Masuko2 , Alan W. Black5 , Keiichi Tokuda1 1 Nagoya Institute of Technology, 2 Tokyo Ins

Source URL: www.cs.cmu.edu

Vol. 21 Suppl, pages i251–i257 doi:bioinformatics/bti1014 BIOINFORMATICS An HMM posterior decoder for sequence feature

Source URL: people.binf.ku.dk

AANN-HMM Models for Speaker Verification and Speech Recognition Sachin Joshi, Kishore Prahallad, B. Yegnanarayana Abstract— Pattern classification is an important task in speech recognition and speaker verification. Gi

Source URL: ravi.iiit.ac.in

Accelerated Profile HMM Searches Sean R. Eddy * HHMI Janelia Farm Research Campus, Ashburn, Virginia, United States of America Abstract Profile hidden Markov models (profile HMMs) and probabilistic inference methods have

Source URL: eddylab.org