搜索结果

SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.

These patch files are supplied as part of ADS 1.2.1.

upnpdom main part of upnp

This document is part of H.264 standard and introduces the prediction of Inter Marcoblocks in P-slices.

Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization

rake_receive, one part of another matlab communication simulation with wirele

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive ...

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space d ...

This file is part of the RTX-51 Real-Time Operating System Source Package

An Evaluation of Visual Speech Features for the Tasks of Speech and Speaker Recognition.