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.
標簽： examples e.g. pARt-of-speech Training
上傳時間： 2015-12-05
上傳用戶：gyq
These patch files are supplied as part of ADS 1.2.1.
標簽： supplied These patch files
上傳時間： 2013-12-25
上傳用戶：cccole0605
upnpdom main part of upnp
上傳時間： 2015-03-06
上傳用戶：dbs012280
This document is part of H.264 standard and introduces the prediction of Inter Marcoblocks in P-slices.
標簽： Marcoblocks introduces prediction document
上傳時間： 2015-06-30
上傳用戶：sjyy1001
Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization
標簽： Quantization_Compare quantization companding uniform
上傳時間： 2014-08-08
上傳用戶：xinzhch
rake_receive, one part of another matlab communication simulation with wirele
標簽： communication rake_receive simulation another
上傳時間： 2015-08-10
上傳用戶：tzl1975
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 (AR) process and represented in the state-space domain.
標簽： speech with enhancement corrupted
上傳時間： 2015-09-07
上傳用戶：zhangyi99104144
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 domain.
標簽： speech enhancement corrupted problem
上傳時間： 2013-12-20
上傳用戶：569342831
This file is part of the RTX-51 Real-Time Operating System Source Package
標簽： Operating Real-Time Package System
上傳時間： 2014-01-03
上傳用戶：caozhizhi
An Evaluation of Visual Speech Features for the Tasks of Speech and Speaker Recognition.
標簽： Speech Recognition Evaluation Features
上傳時間： 2013-12-27
上傳用戶：hebmuljb
