31 search results - page 4 / 7 » State Duration Modeling for HMM-Based Speech Synthesis |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
ICMI
2010
Springer
13 years 4 months ago
2010
Springer
We present a novel approach to speech-driven facial animation using a non-parametric switching state space model based on Gaussian processes. The model is an extension of the shar...
INTERSPEECH
2010
13 years 2 months ago
2010
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Multimodal speech and speaker modeling and recognition are widely accepted as vital aspects of state of the art human-machine interaction systems. While correlations between speec...
NIPS
1993
13 years 9 months ago
1993
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...