In this paper, a method is proposed to generate pitch-contours for Mandarin speech synthesis. In this method, an HMM (hidden Markov model) is used to model the prosodic states implicitly stayed and a syllable’s pitch-contour is treated as an observation generated from a prosodic state. Such an HMM is called a syllable pitch-contour HMM (SPC-HMM). For training the SPC-HMM, we developed a feasibl...

Humans make daily routine decisions based on their internal states in intricate interaction scenarios. This paper presents a probabilistically reconstructive learning approach to identify the of multi-vehicle sequential interactions when merging at highway on-ramps. We treated task's decision as dynamic, stochastic process and then integrated into an HMM-GMR model, probabilistic combination ext...

Hyperbolic metamaterials (HMMs) offer unconventional properties in the field of optics, enabling opportunities for confinement and propagation light at nanoscale. In-plane orientation optical axis, direction coinciding with anisotropy HMMs, is desirable a variety novel applications nanophotonics imaging. Here, method creating localized HMMs in-plane based on block copolymer (BCP) blend instabil...

This paper describes an approach to voice characteristics conversion for HMM-based text-to-speech synthesis system by using speaker interpolation. An HMM interpolation technique is derived from a probabilistic distance measure for HMMs, and used to synthesize speech with untrained speaker’s characteristics by interpolating HMM parameters among some representative speakers’ HMM sets. The result ...

Strongly anisotropic media with hyperbolic dispersion can be used for claddings of plasmonic waveguides (PWs). In order to analyze the fundamental properties of such waveguides, we analytically study 1D waveguides arranged from a hyperbolic metamaterial (HMM) in a HMM-Insulator-HMM (HIH) structure. We show that HMM claddings give flexibility in designing the properties of HIH waveguides. Our co...

Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and

Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.

This paper presents clustering techniques that partition temporal data into homogeneous groups, and constructs state based proles for each group in the hidden Markov model (HMM) framework. We propose a Bayesian HMM clustering methodology that improves upon existing HMM clustering by incorporating HMM model size selection into clustering control structure to derive better cluster models and part...

In distant-talking speech recognition, the recognition accuracy is seriously degraded by reverberation and environmental noise. A robust speech recognition technique in such environments, HMM separation and composition, has been described in [1]. HMM separation estimates the model parameters of the acoustic transfer function using adaptation data uttered from an unknown position in noisy and re...

Abstract the co-articulation is one of the main reasons that makes the speech recognition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend on the first-order assumption. In this paper, for modeling the co-articulation, we propose a more perfect HMM than traditional first order HMM on the basis of our previous works and they giv...